Co-Channel Interference Research Papers - Academia.edu (original) (raw)

2024, Journal of network and information security

In wireless communication research multiple communication antennas are one of the major contexts. At present wireless communication is moving fast and the best example is MIMO. Wireless transmission is suffering from fading and interference effects which may be combated with equalizer. As a result of fading and interference, it creates a problem for signal recovery in wireless communication. The MIMO system uses Multiple Transmit and Multiple Receive antennas which take advantages of multipath propagation during a high distraction environment. This paper analyses the performance of Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) equalizer for 2×2 and 4×4 MIMO wireless channels. By using MATLAB toolbox version 2015a simulation results can be got to the RF processing lab. The Bit Error Rate (BER) features for various communication antennas is simulated in the MATLAB toolbox and many merits and demerits of the system are discussed. The simulation results show that the equalizer based zero-forcing receiver is helpful for noisefree channel and is successful in removing ISI, but MMSE is an optimal choice than ZF in terms of BER characteristics.

2024, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

A detail analysis of the performance of 2X2 MIMO (Multiple Input Multiple Output) antenna systems has been carried out for three different types of detectors at the receiver end by determining the transmit diversity using OSTBC multiplexing techniques. The transmission characteristics of the MIMO system have been determined for BPSK, QPSK and 16-QAM modulation schemes presuming Additive White Gaussian Noise (AWGN) and for the flat fading Rayleigh channel. On the receiver side, equalization detection technique are determined by combining Successive Interference Cancellation with Zero Forcing (ZF-SIC), Minimum Mean Square Equalization (MMSE-SIC) and Maximum Likelihood (ML-SIC) has been employed for determining the BER Vs SNR performance of the communication channel. The simulation results show that for BER of ~10-3 , the SNR increases with higher modulation schemes from BPSK to 16-QAM. Further the results of the analysis for different detector systems indicate that for BPSK modulation at BER ~10-3 , the SNR values are found to be ~24.46 dB for ZF-SIC, SNR ~20.6 dB for MMSE-SIC and SNR ~14.46 dB for ML-SIC detectors. Thus the BER performance of 2X2 MIMO-OSTBC transmission channel shows the reduction of SNR ~10 dB for ML detectors. A comparison of the MIMO performance with OSTBC multiplexing techniques indicate that the 2x2 MIMO-OSTBC transmission channel for BPSK modulation depicts better performance for OSTBC multiplexing with ML detector system at the receiving end. The simulations results are presented and discussed in the paper.

2024, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

2024

In real propagation environment, channel reuse causes co-channel interference which will degrade MIMO channel performance. A Successive Interference Cancellation (SIC) detection algorithm with 64-QAM technique is used to improve the quality of received signal in a high interference environment. Using Concatenating MMSE with SIC equalization, better cancellation gain can be achieved. In this paper, MMSE-SIC-SORTING has been presented, whose performance is better in high interference environment when compared to the earlier detection schemes like ZF,ZF-SIC,ZF-SIC-SORTING,MMSE,MMSE-SIC etc,.

2023, Australian Journal of Engineering and Innovative Technology

In the modern age, wireless communication is very helpful in various mobile antenna communication systems. In mobile communication systems, the transmission of data transfer rates is very high and it plays an important role in several services like video, top-quality audio, and mobile integrated service digital network. During the transmission of data at higher data transmission rates through the mobile radio channels, the channel impulse response can spread over many symbol periods as well as cause inter-symbol interference (ISI). Wireless transmission is suffering from fading and interference effects which may be combated with equalizer. Due to fading and interference, it creates a problem for signal recovery in wireless communication. The main objective of this paper is to analyze the different types of equalizers such as ZF and MMSE for BPSK modulation. The simulation result has been developed by using MATLAB toolbox version 2015a and a multi-tap ISI channel is considered. By an...

2023

The problem of zero-forcing processing is studied for multi-input multi-output multi-relay communication system in which MIMO source-destination pairs communicate simultaneously. It is assumed that due to severe shadowing effects which communication links can be established only with the aid of relay node. The aim is to design the relay amplification matrix to maximize the achievable communication sum-rate through the relay, which in general amplifying-and-forward relaying mechanisms are considered. Zero-forcing (ZF) processing are employed at destination to maintain lowcomplexity. The performance analysis of the proposed algorithm is demonstrated through numerical simulations which are significantly improved.

2023, International Journal of Informatics and Communication Technology

In wireless communication systems (WCS), channel characteristics are random and unpredictable. The resultant effect of the randomness is the multipath effect that leads to multipath fading. Multipath fading is a major contributor to the unreliability of wireless communication links. In this paper, Multiple-Input, Multiple-Output (MIMO) schemes were investigated in mitigating the effect of signal fading. Space-time coded MIMO-OFDM was developed to enhance the performance of the WCS. The performance of the developed space-time coded MIMO-OFDM over both flat and frequency selective channels were compared with that of conventional WCS. The simulation results show that the space-time coded MIMO-OFDM considerably reduced the effect of multipath fading in WCS with improved bit error rate (BER) value.

2023, Journal of network and information security

2023, Indonesian Journal of Electrical Engineering and Computer Science

Natural disaster is an unpredictable event which can cause service communication disruption. The disruption of service communication can be divided into three cases which are power outage, broken backhaul and physical destruction by disaster. This paper focuses on power outage case. Although each base stations equipped with backup batteries, it only last for several hours. After natural disaster hit certain areas, traffic is highly congested due to panic and rescue operation of lifesaving. This scenario will drain the backup batteries quickly. In order to limit the UEs’ connection to the affected base station, this research proposed to adjust Received Signal Strength (RSS) based on parameter called as a distance fraction coefficient, α so that the affected coverage area is reduced when in disaster area situation. The parameter is added in the path loss equation and later in the RSS equation. The numerical results show the RSS improved whereby α=0.2 gives the optimal value and theref...

2023, Int. J. Commun. Networks Inf. Secur.

Internet of Things (IoT) has been seen playing a tremendous change in the Information Technology (IT) environments, and thus its importance has also been realized and played a vital role within Intelligent Home Networks (IHNs). This is because IoT establishes a connection between things and the Internet by utilizing different sensing devices to implement the intelligence to deal with the identification and management of the connected things. IHNs use intelligent systems to perform their daily operations. Meanwhile, these networks ensure comfort, safety, healthcare, automation, energy conservation, and remote management to devices and users. Apart from that, these networks provide assistance in self-healing for faults, power outages, reconfigurations, and more. However, we have realized that more and advanced devices and services continue to be introduced and used in these networks. This has led to competitions of the limited available network resources, services, and bandwidth. In t...

2023, The Journal of Engineering Research

Vehicular Ad-hoc NETworks (VANETs) is very important in the field of Intelligent Transportation system (ITS) for enhancing the safety of road. The communication between the vehicles will be covered under the VANETs. A lot of research works are there in the area of VANET development. The common problem that arises is achieving multi-constrained Quality of Service metrics. In order to solve this problem, this paper derives a cost model for vehicle routing problem by considering the network quality metrics such as travel cost, collision, congestion and the awareness about quality of service (QoS). The QoS awareness is fuzzified into cost model to include in the total routing cost. Since the routing cost model is a minimization function, a recently introduced bio-inspired optimization algorithm called as lion algorithm (LA) is used to solve it. The performance is investigated using three renowned analyses such as convergence analysis, cost analysis and complexity analysis. The simulated...

2023, annals of telecommunications - annales des télécommunications

To deal with real life scenarios for wireless sensor networks with uneven contours, connectivity issues, and dropping packets, heterogeneous sensors became the vital factor to enhance its capability in terms of energy efficiency and end-to-end packet delay. In recent times, end-to-end packet delay has a significant role in wireless sensor networks along with energy efficiency and network lifetime. In the present situation, the information delayed is information lost, and hence, end-to-end packet delay is playing an important role in wireless sensor networks. To address the issue of end-toend packet delay in wireless sensor network, a mobile clusterhead data collection model for heterogeneous wireless sensor networks has been evaluated. In this paper, the mobile clusterhead data collection model has been evaluated for two different scenarios. This paper also illustrates the velocity of the cluster-head node with which it should move to reduce the end-to-end packet delay. The mobile cluster-head data collection mobility model has been evaluated for end-to-end packet delay on the basis of data send rate, network size, sensor node density, and cluster-head node density. For verification and validation, extensive simulations have been conducted which validates that the efficient mobility pattern of the mobile cluster-head nodes can lower end-to-end packet delay of wireless sensor networks. Keywords Mobile cluster-head. Mobile data collector. Average end-to-end packet delay. Data-delivery ratio. Energy consumed Abbreviations VAS Voronoi ant systems VCP Voronoi control packet MTWSW Modified two-way sliding window MCHDC Mobile cluster-head data collection WSN Wireless sensor network HP Head point MAC Media access control BSN Base station node (sink node)

2023, International Journal of Sensor Networks

Wireless sensor network (WSN) deployment is still facing many challenges. These challenges are related to determining node positions that ensure a trade-off between different metrics such as coverage, k-coverage, connectivity and cost. Due to the high density of WSN, finding an optimal deployment becomes an NP-Hard task. In this paper, we study this problem of determining the optimal spatial node positions of WSN in indoor environments. We formulate this task as a constrained multi-objective optimisation problem (CMOOP). This formulation is based on mathematical modelling of the different above metrics. We explicit this original modelling and the CMOOP solving by genetic algorithm (GA) combined with the weighted-sum method. To prove the interest of the proposed methodology, the results of this work are presented and compared to other studies.

2023, International Journal of Scientific Methods in Intelligence Engineering Networks

The Internet of Things (IoT) is a collection of intelligently connected devices that are connect to the internet. Every day, as technology advances, an IoT device outnumbers humans on the world. The Internet of Things (IoT) systems would connect not only physical users and devices, but also virtual networks and devices that have already been implemented in various scenarios using new networking, computing, and integrated system technologies. With the rapid advancement of technology, the number of devices involved grows rapidly. IoT systems have crucial issues in supplying sufficient bandwidth to IoT Devices for Improving Quality in Services provided in the form of QoS (Quality of Service) parameters, depending on the volume of devices and data. The proposed work is an artificial intelligence enabled dynamic bandwidth allocation optimization in IoT for improved QoS comprising of IoT devices, router, bandwidth data, KM-PSO clustering, Deep Alternative Neural Network (DANN), Dynamic Ba...

2023, Sensors

Continuous advancements of technologies such as machine-to-machine interactions and big data analysis have led to the internet of things (IoT) making information sharing and smart decision-making possible using everyday devices. On the other hand, swarm intelligence (SI) algorithms seek to establish constructive interaction among agents regardless of their intelligence level. In SI algorithms, multiple individuals run simultaneously and possibly in a cooperative manner to address complex nonlinear problems. In this paper, the application of SI algorithms in IoT is investigated with a special focus on the internet of medical things (IoMT). The role of wearable devices in IoMT is briefly reviewed. Existing works on applications of SI in addressing IoMT problems are discussed. Possible problems include disease prediction, data encryption, missing values prediction, resource allocation, network routing, and hardware failure management. Finally, research perspectives and future trends ar...

2023

A wireless sensor network consist of sensor nodes which are capable to perform sensing, computation and transmission. These sensor nodes have limited power which is difficult to replace due to hostile environment. Therefore to increase the lifetime of wireless sensor network, it is required to develop such techniques to consume lesser energy. Wireless sensor network is nowadays being applied in many different civilian applications like vehicle tracking, building and forest and earthquake contemplation, bio-medical or health care applications. Wireless sensor network is built with many sensor nodes. Node deployment is very important task in wireless sensor network. Different approaches are used for the deployment of sensor nodes are: random deployment and deterministic deployment.

2023, International Journal of Scientific Methods in Intelligence Engineering Networks

2023

Wireless sensor networks (WSNs) is one of the significant parts in networking area. Because they are cheap, efficient, and small, they are become more and more important for several applications. However, with the widespread use of applications that rely on wireless sensor networks, they continue to suffer from limitations such as memory and computing. Since, the need for finding effective solutions, especially after the emergence of the Internet of Things, which relies on the efficiency of wireless sensor networks. In this study, a survey was given of the latest research in this field for the years 2018-2020, which was classified into six categories: 1) presented an overview of the applications, management and security of wireless sensor networks. 2) Focused on improving classification algorithms, routing, and energy saving. 3) Review the developed methods of the techniques for information gathering. 4) Focused on coverage, connectivity and positioning techniques. 5) Displayed the ...

2023, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR)

The Internet of Things (IoT) provides information and safety governance. The Internet of Things connects people and objects from all over the universe. The Internet of Things can be employed for a broad range of purposes, which include vehicular response, building automation, rapid medical support, as well as intelligent buildings. In an existing IoT network, a large variety of sensors might well be supplemented by a limited array of sensors, but instead, IoT could be positioned on a common network, consuming energy and resources. In this specific situation, sensing technology has been considered with the Internet of Things as an integration objective. The three primary phases of the detection and management architectural style are detecting, data responding, and regulation. Wireless sensed data is usually necessary to operate the detection device in Wireless Sensor networks (WSNs). To accomplish information exchange, the WSN transceiver module employs an ultra-low leverage radio frequency (RF) signal. The integration of wireless sensor systems and the internet of things with appropriate security specifications are elaborated on in this paper.

2023

Data aggregation involves the integration of correlated data generated by various wireless sensors and devices in WSN and IoT networks, in order to arrive at meaningful interpretation of the data sensed. It also serves as an efficient mechanism to optimize the resources like node energy, communication bandwidth and computation time, in WSN and IoT networks. The paper presents a brief overview of basic concepts related to WSN & IoT networks, data aggregation, and various optimization parameters used by the data aggregation protocols. A major contribution of the paper is to provide a comprehensive survey of various data aggregation protocols developed to address issues related to network topology, interference, fault-tolerance, mobility and security in WSN and IoT networks. Due to resource constraints, WSN and IoT networks are besieged with several competing requirements like latency, energy efficiency, data accuracy, data freshness, temporal correctness etc. The paper presents an in-depth discussion on these requirements, and the tradeoff strategies to be followed by data aggregation approaches to optimize these requirements. The paper highlights some of the gap areas in existing data aggregation approaches and suggests research solutions to amicably plug these gaps.

2023, International Journal of Mobile Computing and Multimedia Communications

Cellular IP networks deal with the concepts of micro-mobility. Buffer management in Cellular IP networks is very crucial as its proper usage not only increases the throughput of the network but also results in the reduction of the call drops. This article proposes a model for buffer management in Cellular IP network using Particle Swarm Optimization (PSO), an evolutionary computational method often used to solve hard problems. The model considers two kinds of buffers; Gateway buffer and Base Station buffer. In the proposed two-tier model, the first tier applies a prioritization algorithm for prioritizing real-time packets in the buffer. In the second tier PSO algorithm is used on a swarm of cells in the network. PSO is applied for a given time slot, called window. In each window period the swarm can store number of packets depending on the window size and the total number of packets. The effect of various parameters e.g. number of packets, size of packets, window size, and a thresho...

2023

This paper investigates on the performance comparison of m x n equalizer based maximum likelihood (ML) and minimum mean square error (MMSE) MIMO receiver for wireless channel. The effect of fading and interference effects can be combated with equalizer. This paper also analyses the performance of MMSE equalizer based receiver for MIMO wireless channel. The bit error rate (BER) characteristics for the various transmitting and receiveing antennna are simulated in Matlab tool box and many advantages and disadvantages of the system are described. The simulation carried out in signal processing lab show that the MMSE equalizer based receiver is a good choice for removing some inter symbol interference (ISI) and minimizes the total noise power. However the simulation results show ML equalizer performance better. The simulation tool box used is Matlab V.7.0 and the results were obtained at RF signal processing lab. The results show that the BER decreases as the m x n antenna configurations...

2023, Journal of Network and Systems Management

The extensive growth in popularity of Internet of Things (IoT) has led to the generation of massive amount of data from several heterogeneous sensory devices. This has also led to the increase in energy consumption by these connected devices. Smart buildings are one such platform which are equipped with several micro-controllers and sensors, generating a huge amount of redundant information at their data acquisition level. As a result, real-time applications may not be efficiently executed due to latency delays at the cloud service end. This requires several devices at cloud service end to execute the massive amount of data generated by these sensors, which does not satisfy green computing criteria. In this context, a novel local processing mechanism (LPM) is proposed, which favors an improved IoT service architecture for smart buildings. From the perspective of green computing, the proposed LPM framework facilitates reduction of manifolds at data acquisition level of sensor nodes. This paper also addresses the concept of optimal use of sensors in a wireless sensor network (WSN) and estimates costs corresponding to non-Poisson and Poisson arrival of data packets at local processor using the well-known queuing model. We also provide an efficient algorithm for smart buildings using our expert Markov switching (EMS) model, which is a well known probabilistic model in the field of artificial intelligence (AI) for subjectively validating real sensory data sets (viz., temperature, pressure, and humidity). Further, it has been analyzed that the proposed EMS algorithm outperforms several other algorithms conventionally used for determining the state of large-scale dynamic sensor networks. The service cost of proposed model has been compared with conventional model under various stress conditions viz., arrival rate, service rate, and number of clusters. It is observed that the proposed model operates well by leveraging green computing criteria. Thus, in the aforementioned context, this paper provides thing-centric, data-centric, and service-oriented IoT architecture.

2022, Wireless Communications and Mobile Computing

Conservation of energy has been a major concern for Wireless Sensor Networks (WSNs) and IoT applications. Several strategies were devised, aimed at optimizing energy consumption in these applications, based on: (a) use of low-powered hardware devices, (b) deploying mobile/relay agents for data collection, (c) clustering, and (d) data aggregation. Amongst these, data aggregation is widely acknowledged as an important tool to conserve energy in WSN and IoTs. The paper provides a comprehensive survey of various data aggregation strategies, discusses the efficacy of these strategies in handling issues that are typical to WSN and IoT applications. These issues severely impact the performance metrics such as: energy efficiency, latency, fault-tolerance, network throughput, and network lifetime. Therefore, to optimize the data aggregation approach, an application developer needs to arrive at optimal tradeoffs between these parameters. A major contribution of the paper is to present a holis...

2022, Wireless Communications and Mobile Computing

2022, International Journal of Computer Applications

Wireless Sensor Network (WSN) is the current research field in computer science & has growing use in day to day life. As a new technology, it has several research challenges and vast opportunities for the researchers. This paper highlights WSN, its architecture, challenges, applications and classification of various protocols concerning it. It also classifies various security protocols to make WSN a secure network.

2022, International journal of electrical and computer engineering systems

In Intelligent Transport Systems, traffic management and providing stable routing paths between vehicles using vehicular ad hoc networks (VANET's) is critical. Lots of research and several routing techniques providing a long path lifetime have been presented to resolve this issue. However, the routing algorithms suffer excessive overhead or collisions when solving complex optimization problems. In order to improve the routing efficiency and performance in the existing schemes, a Position Particle Swarm Optimization based on Fuzzy Logic (PPSO-FL) method is presented for VANET that provides a high-quality path for communication between nodes. The PPSO-FL has two main steps. The first step is selecting candidate nodes through collectively coordinated metrics using the fuzzy logic technique, improving packet delivery fraction, and minimizing end-to-end delay. The second step is the construction of an optimized routing model. The optimized routing model establishes an optimal route t...

2022, IEEE Access

Quality of Service (QoS)-aware service composition plays an increasingly important role in various computational paradigms and delivery models, predominantly cloud computing. The proliferation of services with expanding quality attributes navigates this problem towards big service compositions, which fall under the umbrella of NP-hard. Within the realm of big services, performing composition also became a computationally expensive and challenging task. Since service composition is an NP-hard problem, numerous research aimed to determine optimal or near-optimal solutions within a reasonable computation budget. A large body of evidence suggests that metaheuristics could realize this goal to some extent. However, the proliferation of services with expanding quality attributes (search dimensions) may fail the most efficient techniques. In order to deal with the problem of big service composition, one trending approach has been devising hybrid metaheuristics methods by incorporating clustering techniques to minimize search space. This paper proposes a hybrid metaheuristic incorporated with a maximal discernibility heuristic based on rough set theory to perform composition in the subset of search space. Moreover, it introduces a parallel processing and monitoring mechanism to provide immunity against premature convergence when the search space is minimized. The experiment was conducted for 25 datasets generated incrementally from a real-world QWS dataset, where the proposed hybrid solution effectively improves solution quality and reduces execution time with a statistical significance of 99 % confidence interval across diverse metaheuristics and datasets.

2022, Sensors

One of the prime aims of smart cities has been to optimally manage the available resources and systems that are used in the city. With an increase in urban population that is set to grow even faster in the future, smart city development has been the main goal for governments worldwide. In this regard, while the useage of Artificial Intelligence (AI) techniques covering the areas of Machine and Deep Learning have garnered much attention for Smart Cities, less attention has focused towards the use of combinatorial optimization schemes. To help with this, the current review presents a coverage of optimization methods and applications from a smart city perspective enabled by the Internet of Things (IoT). A mapping is provided for the most encountered applications of computational optimization within IoT smart cities for five popular optimization methods, ant colony optimization, genetic algorithm, particle swarm optimization, artificial bee colony optimization and differential evolution...

2022, International journal of electrical and computer engineering systems

2022, IEEE Access

Recently, the Internet of Things (IoT) is widely considered in vehicular ad-hoc networks (VANETs) for use in intelligent transportation systems. In particular, the pervasive deployment of different sensors in modern vehicles has unlocked interesting possibilities for improving routing performance in VANETs. Nevertheless, the discovery of short single loop-free routes for effective and efficient information dissemination in VANETs remains a challenge. This challenge proves more difficult to solve since it reduces to the case of finding the shortest Hamiltonian path for effective routing in VANETs. Consequently, in this paper, we propose two discretized variants of the cuckoo search optimization (CSO) algorithm, namely, the Lévy flight-based discrete CSO (LF-DCSO) and the random walk-based discrete CSO (RW-DCSO) for effective route discovery in VANETs. In addition, we investigated the inverse mutation operator gleaned from genetic algorithm (GA) in order to improve the exploration properties of our DCSO variants. We describe a new objective function that effectively models the reliability of individual links between nodes that comprise a single route. A detailed report of the routing protocol that controls the routing process is presented. Our proposed methods were compared against the roulette wheel-based GA and the improved k-means-based GA termed IGAROT. Specifically, our findings reveal that there was no significant difference in the performance of the different methods in the low vehicle density scenario, however, in the medium vehicle density scenario, the RW-DCSO algorithm achieved 2.56%, 100%, and 128.57% percentage increment in its route reliability score over the LF-DCSO, RW-GA, and IGAROT algorithms, respectively. Whereas in the high vehicle density scenario, the LF-DCSO algorithm achieved a percentage increment of 42.85%, 525%, and 733.33% in the route reliability score obtained over the RW-DCSO, IGAROT, and RW-GA algorithms, respectively. Such results suggest that our methods are able to guarantee effective routing in VANETs. INDEX TERMS Discrete, cuckoo search optimization (CSO), route discovery, shortest path, VANET.

2022, International Journal of Advanced Networking and Applications

Advancement in IoT and cloud technology has opened room for various application services in different areas. With such popularity, the volume of data increases immensely and it is infeasible for cloud technology to provide real-time services in some cases. Fog computing is an extension of cloud technology which provides real-time and time-sensitive services. Data processing is done at fog nodes that allow seamless connectivity and application services. In this paper, various fog computing architectures, applications, and security issues are discussed. It aims to provide a comprehensive review of various aspects of fog computing

2022, Rev. méd. Minas …

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

2022, International Journal of Intelligent Engineering and Systems

A sensor network operates wirelessly and transmits detected information to the base station. The sensor is a small sized device, it is battery-powered with some electrical components, and the protocols should operate efficiently in such least resource availability. Here, we propose a novel improved framework in large scale applications where the huge numbers of sensors are distributed over an area. The designed protocol will address the issues that arise during its communication and give a consistent seamless communication system. The process of reasoning and learning in cognitive sensors guarantees data delivery in the network. Localization in Scarce and dense sensor networks is achieved by efficient cluster head election and route selection which are indeed based on cognition, improved Particle Swarm Optimization, and improved Ant Colony Optimization algorithms. Factors such as mobility, use of sensor buffer, power management, and defects in channels have been identified and solut...

2022, EAI Endorsed Transactions on Industrial Networks and Intelligent Systems

Interference has always been the main threat to the performance of traditional WiFi networks and next-generation moving forward. The problem can be solved with transmit power control(TPC). However, to accomplish this, an information-gathering process is required. But this brings overhead concerns that decrease the throughput. Moreover, mitigation of interference relies on the selection of transmit powers. In other words, the control scheme should select the optimum configuration relative to other possibilities based on the total interference, and this requires an extensive search. Furthermore, bidirectional communication in real-time needs to exist to control the transmit powers based on the current situation. Based on these challenges, we propose a complete solution with Digital Twin WiFi Networks (DTWN). Contrarily to other studies, with the agent programs installed on the APs in the physical layer of this architecture, we enable information-gathering without causing overhead to t...

2022, EAI Endorsed Transactions on Energy Web

The present pandemic demands touchless and autonomous, intelligent surveillance system to reduce human involvement. Heterogeneous types of sensors are used to improve the effectiveness of this surveillance system and a cooperative approach of such sensors will make the system further efficient due to variation in users such as corporate office, universities, manufacturing industries etc. The application of effective data aggregation technique on sensors is essential as the energy utilization of the system degrades the lifetime, coverage and computational overhead. The application of bioinspired optimization technique like Particle Swarm Optimization for scheduling leads to improved performance of the system as the nature of the system is heterogeneous and requirement is multi-objective. Similarly the application of Support vector Machine as a classification and prediction algorithm on the huge data collected periodically makes the system further autonomous and intelligent.

2022

In this paper, we propose a convergence system with visible light communication (VLC) and powerline communication (PLC) for home network. Also, we analyze the performance of interference mitigation scheme for the proposed system model. The proposed system is able to offer multimedia services with high speed in indoor wireless environment. Interference scenario is suggested to demonstrate the proposed system. And the scenario analyzed by applying minimum mean square error (MMSE) and zero-forcing (ZF) schemes to reduce the interference. From simulation results, we confirm that interference has a significant effect on the proposed system performance and the applied detectors are highly effective for interference mitigation.

2022, IEEE Transactions on Cognitive Communications and Networking

Abstract-The next generation of wireless networks is expected to provide not only higher bandwidths anywhere and at any time but also ubiquitous communication using different network types. However, several important issues including routing, selfconfiguration, device management, and context awareness have to be considered before this vision becomes reality. This paper proposes a novel cognitive network framework for heterogeneous wireless mesh systems to abstract the network control system from the infrastructure by introducing a layer that separates the management of different radio access networks from the data transmission. This approach simplifies the process of managing and optimizing the networks by using extendable smart middleware that automatically manages, configures, and optimizes the network performance. The proposed cognitive network framework, called FuzzOnto, is based on a novel approach that employs ontologies and fuzzy reasoning to facilitate the dynamic addition of new network types to the heterogeneous network. The novelty is in using semantic reasoning with crosslayer parameters from heterogeneous network architectures to manage and optimize the performance of the networks. The concept is demonstrated through the use of three network architectures: wireless mesh network (WMN), long-term evolution (LTE) cellular network, and vehicular ad hoc network (VANET). These networks utilize non-overlapped frequency bands and can operate simultaneously with no interference. The proposed heterogeneous network was evaluated using ns-3 network simulation software. The simulation results were compared with those produced by other networks that utilize multiple transmission devices. The results showed that the heterogeneous network outperformed the benchmark networks in both urban and VANET scenarios by up to 70% of the network throughput, even when the LTE network utilized a high bandwidth.

2022

Wireless communication has become very important in this world due to easy handling of equipments and installation of operating software’s. The capacity and gain of these equipments depend on the channel conditions therefore we have to take care of channel noise, delay, gain, signal propagation and processing equipments. At the receiving end, receiver is responsible in inverting the effect of channel, therefore equalizers are required. A single input single output antenna system at the transmitter and receiver cannot show the better recovery of original transmitted data sequence, therefore we need multiple inputs multiple output antenna systems in our equipment. We have used different equalizers to improve the BER performance at the receiver and also the QPSK modulation is used at the transmitter. The spatial multiplexing has shown very good performance at the receiver and improves the gain of our system however complexity of the algorithm returned in time consumption. Finally the o...

2022, TELKOMNIKA (Telecommunication Computing Electronics and Control)

The interference issue is most vibrant on low-powered networks like wireless sensor network (WSN). In some cases, the heavy interference on WSN from different technologies and devices result in life threatening situations. In this paper, a machine learning (ML) based lightweight interference mitigation scheme for WSN is proposed. The scheme detects and identifies heterogeneous interference like Wifi, bluetooth and microwave oven using a lightweight feature extraction method and ML lightweight decision tree. It also provides WSN an adaptive interference mitigation solution by helping to choose packet scheduling, Acknowledgement (ACK)-retransmission or channel switching as the best countermeasure. The scheme is simulated with test data to evaluate the accuracy performance and the memory consumption. Evaluation of the proposed scheme's memory profile shows a 14% memory saving compared to a fast fourier transform (FFT) based periodicity estimation technique and 3% less memory compared to logistic regression-based ML model, hence proving the scheme is lightweight. The validation test shows the scheme has a high accuracy at 95.24%. It shows a precision of 100% in detecting WiFi and microwave oven interference while a 90% precision in detecting bluetooth interference.

2022, 2009 International Conference on Advances in Computational Tools for Engineering Applications

The paper investigates the adaptive Radial Basis Function Neural Network (RBFNN) equalization of nonlinear time-varying communication channel with online training algorithms. A new algorithm is developed to training the centers of hidden layer neurons; this algorithm is called the modified Rival Penalized Competitive algorithm. The advantage of this algorithm is that it does not require any initialization of the channel states values, neither the knowledge of their number. The algorithm starts with one state channel value and determines the other channel states iteratively. The multiple-iterations Least Mean Square (LMS) algorithm is used to adapt the weights hidden-output layer connections. The multiple-iterations LMS algorithm has a good convergence time, in comparison with the classic LMS algorithm. Good performance results are obtained as compared to the optimal Bayesian equalizer.

2022, Sensors

The International Conference on Green and Human Information Technology (ICGHIT) is an international conference focusing on green and information technologies oriented toward humanity [...]

2022, IEEE Access

With the advent of Service-Oriented Architecture (SOA), services can be registered, invoked, and combined by their identical Quality of Services (QoS) attributes to create a new value-added application that fulfils user requirements. Efficient QoS-aware service composition has been a challenging task in cloud computing. This challenge becomes more formidable in emerging resource-constrained computing paradigms, such as the Internet of Things and Fog. Service composition has regarded as a multi-objective combinatorial optimization problem that falls in the category of NP-hard. Historically, the proliferation of services added to problem complexity and navigated solutions from exact (none-heuristics) approaches to near-optimal heuristics and metaheuristics. Although metaheuristics have fulfilled some expectations, the quest for finding a high-quality, near-optimal solution has led researchers to devise hybrid methods. As a result, research on service composition shifts towards the hybridization of metaheuristics. Hybrid metaheuristics have been promising efforts to transcend the boundaries of metaheuristics by leveraging the strength of complementary methods to overcome base algorithm shortcomings. Despite the significance and frontier position of hybrid metaheuristics, to the best of our knowledge, there is no systematic research and survey in this field with a particular focus on strategies to hybridize traditional metaheuristics. This study's core contribution is to infer a framework for hybridization strategies by conducting a mapping study that analyses 71 papers between 2008 and 2020. Moreover, it provides a panoramic view of hybrid methods and their experiment setting in respect to the problem domain as the main outcome of this mapping study. Finally, research trends, directions and challenges are discussed to benefit future endeavours.

2022, 2017 IEEE 42nd Conference on Local Computer Networks (LCN)

Cross Technology Interference (CTI) is a prevalent phenomenon in the 2.4 GHz unlicensed spectrum causing packet losses and increased channel contention. In particular, WiFi interference is a severe problem for low-power wireless networks as its presence causes a significant degradation of the overall performance. In this paper, we propose a proactive approach based on WiFi interference modelling for accurately predicting transmission opportunities for low-power wireless networks. We leverage statistical analysis of real-world WiFi traces to learn aggregated traffic characteristics in terms of Inter-Arrival Time (IAT) that, once captured into a specific 2nd order Markov Modulated Poisson Process (MMPP(2)) model, enable accurate estimation of interference. We further use a hidden Markov model (HMM) for channel occupancy prediction. We evaluated the performance of i) the MMPP(2) traffic model w.r.t. real-world traces and an existing Pareto model for accurately characterizing the WiFi traffic and, ii) compared the HMM based white space prediction to random channel access. We report encouraging results for using interference modeling for white space prediction.

2022, international journal of engineering trends and technology

The wireless communication has derived to the present scenario after pasing through number of stages and generation. From analog communication of 1 st generation today we talk about digital communication in 4 th generation, from the generation of single transmitting antenna and single receive antenna known as SISO systems, we reached the systems with multiple transmitting and multiple receiving antennas known as MIMO systems going through the systems of Multiple Transmit and single receive antenna systems known as MISO systems and Single transmit and multiple receive systems known as SIMO systems. This paper will present a study of generation from SISO systems to MIMO systems for digital communication under the research work going at

2022, Journal of Network and Information Security

2022

Every industrial revolution's prime motive is to find how to utilize the human workforce smartly. Machinery dominates every prime industry sector like food, textile, agriculture, and transport. The task of the industrial revolution is to evolve technology that trains machinery smartly. In addition, also how to compete with smart technology in routine life? Due to communication network advancements, sector like telegram and fax have vanished. Communication arises as a way of clearly expressing one’s mindthoughts to others. Communication networks establish the systematic flow of information effectively within the organization. The modern business world pulse represents speedy, accurate, and timely information. For example, in banking and money exchange quick money transaction is possible because of communication network technology. The word "Smart" is a prefix with all current technologies. A future era of the upcoming decades is artificial intelligence (AI). Smart techn...

2022, Wireless Communications and Mobile Computing

Wireless sensor networks (WSNs) based on the Internet of Things (IoT) are now one of the most prominent wireless sensor communication technologies. WSNs are often developed for particular applications such as monitoring or tracking in either indoor or outdoor environments, where battery power is a critical consideration. To overcome this issue, several routing approaches have been presented in recent years. Nonetheless, the extension of the network lifetime in light of the sensor capabilities remains an open subject. In this research, a CUCKOO-ANN based optimization technique is applied to obtain a more efficient and dependable energy efficient solution in IoT-WSN. The proposed method uses time constraints to minimize the distance between sources and sink with the objective of a low-cost path. Using the property of CUCKOO method for solving nonlinear problem and utilizing the ANN parallel handling capability, this method is formulated. The resented model holds significant promise since it reduces average execution time, has a high potential for enhancing data centre energy efficiency, and can effectively meet customer service level agreements. By considering the mobility of the nodes, the technique outperformed with an efficiency of 98% compared with other methods. The MATLAB software is used to simulate the proposed model.

2022, IEEE Access

Non-Orthogonal Multiple Access (NOMA) is one of the promising technologies for wireless communication networks. Although NOMA was originally proposed in cellular networks, due to its strengths, it can also be used in other networks, such as wireless sensor networks (WSN). Massive connections and energy limitations are some of the challenges in the WSNs and NOMA can be used to improve spectral efficiency, reduce latency, and increase energy efficiency of the WSN. In this paper we investigate the effect of Power-Domain NOMA (PD-NOMA) on the performance of IEEE 802.15.4e Time Slotted Channel Hopping (TSCH)-Based WSNs. A clustered WSN is studied where sensor nodes send their data to their cluster heads using NOMA transmissions, where the cluster heads will also utilize NOMA for the transmission of their aggregated data to the sink node. A fair user grouping and power allocation scheme is proposed because of its great influence on the performance of the PD-NOMA, where users utilizing the channel simultaneously and their transmission power levels will be determined. A new clustering algorithm is also proposed to select the appropriate cluster heads for the NOMA transmission. Simulation results show that the proposed scheme improves energy efficiency, latency, and network throughput in IEEE 802.15.4e TSCH-based WSNs.

2022

Abstract—In this paper, we study the zero-forcing (ZF) and minimum mean-squared error (MMSE) algorithms for a multiple-input multiple-output (MIMO) relay network and compare their performance in terms of bit-error-rate (BER). In particular, we investigate their performance with and without using the successive interference cancellation (SIC) at the receiver. Our results demonstrate that the system performance can be significantly improved by using the SIC technique. Index Terms—multiple-input multiple-output (MIMO), relay networks, zero-forcing (ZF), minimum mean-squared error (MMSE), successive-interference-cancellation (SIC). I.