Intelligent Vehicular networks Research Papers (original) (raw)

2024, International journal of wireless and mobile networks

Clustering is a technique used in network routing to enhance the performance and conserve the network resources. This paper presents a cluster-based routing protocol for VANET utilizing a new addressing scheme in which each node gets an address according to its mobility pattern. Hamming distance technique is used then to partition the network in an address-centric manner. The simulation results show that this protocol enhances routing reachability, whereas reduces routing end-to-end delay and traffic received comparing with two benchmarks namely AODV and DSDV.

2024, International Journal of Wireless & Mobile Networks

2024, 2012 International Conference on Computer and Communication Engineering (ICCCE)

We introduce an analytical framework for quantitative safety level evaluation of periodic-based safety applications in vehicular ad hoc networks (VANETs). The framework is based on Markov chain modeling and associates the probability of successful reception of safety messages by the safety application with the safety level which is eventually offered to the passengers. The relationship between distance and safety risk is also incorporated in the proposed model. The idea of this paper challenges the common trend in literature in which quality of safety (pertaining to safety application) is evaluated through the same parameters as quality of service (of the network). Based on the proposed framework, we investigate the effects of vehicles' transmission range on the evaluated safety level. Further we showed that despite of poor performance of the MAC layer of current standard, which is based on IEEE 802.11p, invoking application layer TDMA-like scheduling improves the quality of safety noticeably satisfying the requirements of most of the life safety applications.

2024, Electronics

Vehicular ad-hoc networks (VANET) enable vehicles to exchange information on traffic conditions, dynamic status and localization, to enhance road safety and transportation efficiency. A typical VANET application is platooning, which can take advantage of exchanging information on speed, heading and position to allow shorter inter-vehicle distances without compromising safety. However, the platooning performance depends drastically on the quality of the communication channel, which in turn is highly influenced by the medium access control protocol (MAC). Currently, VANETs use the IEEE 802.11p MAC, which follows a carrier sense multiple access with collision avoidance (CSMA/CA) policy that is prone to collisions and degrades significantly with network load. This has led to recent proposals for a time-division multiple access (TDMA)-based MAC that synchronize vehicles’ beacons to prevent or reduce collisions. In this paper, we take CSMA/CA and two TDMA-based overlay protocols, i.e., de...

2024, ACM Transactions on Modeling and Computer Simulation

The rapid introduction of mobile navigation aides that use real-time road network information to suggest alternate routes to drivers is making it more difficult for researchers and government transportation agencies to understand and predict the dynamics of congested transportation systems. Computer simulation is a key capability for these organizations to analyze hypothetical scenarios; however, the complexity of transportation systems makes it challenging for them to simulate very large geographical regions, such as multi-city metropolitan areas. In this article, we describe enhancements to the Mobiliti parallel traffic simulator to model dynamic rerouting behavior with the addition of vehicle controller actors and vehicle-to-controller reroute requests. The simulator is designed to support distributed-memory parallel execution using discrete event simulation and be scalable on high-performance computing platforms. We demonstrate the potential of the simulator by analyzing the imp...

2024, IEEE Transactions on Communications

In this paper, we propose an optimization framework of offloading from a single mobile device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency and the MD's energy consumption by jointly optimizing the task allocation decision and the MD's central process unit (CPU) frequency. This work considers two cases for the MD, i.e., fixed CPU frequency and elastic CPU frequency. Since these problems are NP-hard, we propose a linear relaxation based approach and a semidefinite relaxation (SDR) based approach for the fixed CPU frequency case, and an exhaustive search based approach and a SDR-based approach for the elastic CPU frequency case. Our simulation results show that the SDR-based algorithms achieve near optimal performance. Performance improvement can be obtained with the proposed scheme in terms of energy consumption and tasks' execution latency when multiple edge devices and elastic CPU frequency are considered. Finally, we show that the MD's flexible CPU range can have an impact on the task allocation. Index Terms-Mobile edge computing, Fog computing, semidefinite relaxation, computation offloading, dynamic voltage and frequency scaling I. INTRODUCTION R ECENTLY, mobile devices have become an indispensable part of modern life. On a single mobile phone,

2024, 2021 International Wireless Communications and Mobile Computing (IWCMC)

2024, Journal of Parallel and Distributed Computing

The steep rise of Internet of Things (IoT) applications along with the limitations of Cloud Computing to address all IoT requirements leveraged a new distributed computing paradigm called Fog Computing, which aims to process data at the edge of the network. With the help of Fog Computing, the transmission latency, monetary spending and application loss caused by Cloud Computing can be effectively reduced. However, as the processing capacity of fog nodes is more limited than that of cloud platforms, running all applications indiscriminately on these nodes can cause some QoS requirement to be violated. Therefore, there is important decision-making as to where executing each application in order to produce a cost effective solution and fully meet application requirements. In particular, we are interested in the tradeoff in terms of average response time, average cost and average number of application loss. In this paper, we present an online algorithm, called unit-slot optimization, based on the technique of Lyapunov optimization. The unit-slot optimization is a quantified near-optimal online solution to balance the three-way tradeoff among average response time, average cost and average number of application loss. We evaluate the performance of the unit-slot optimization algorithm by a number of experiments. The experimental results not only match up the theoretical analyses properly, but

2024, nternational journal of communication networks and information security

Clustering is one of the popular topology management approaches that can positively influence the performance of networks. It plays significant role in VANETs. However, VANETs having highly mobile nodes lead to dynamic topology and hence, it is very difficult to construct stable clusters. More homogeneous environment produces more stable clusters. Homogeneous neighborhood for a vehicle is strongly driven by density and standard deviation of average relative velocity of vehicles in its communication range. So, we propose Mobility Adaptive Density Connected Clustering Algorithm (MADCCA), a density based clustering algorithm. The Cluster Heads (CHs) are selected based on the standard deviation of average relative velocity and density matrices in their neighborhood. Vehicle, which is having more homogeneous environments, will become the cluster heads and rest of the vehicles in their communication range will be the Cluster Members (CMs). The simulation results demonstrate the better performance of MADCCA over other clustering algorithms new ALM and MOBICA.

2024, Future Generation Computer Systems

In the emerging era of Internet of Things (IoT), fog computing plays a critical role in serving delaysensitive and location-aware applications. As a result, fog nodes are envisioned to be heavily deployed and form future distributed data centers. Powering fog nodes with green energy sources (such as solar and wind), not only helps in environmental and CO 2 emission control but also paves the way towards a ''sustainable IoT technology". However, the downside of green energy is its variation and unpredictability, which needs to be engineered. In this paper, we use the Lyapunov optimization technique to derive algorithms for dynamic dispatching of the users' requests among the nearby fog nodes and remote data centers. The proposed algorithms take into account the time constraints of the requests and maintain the system stability while efficiently utilize the available green energy sources. Exhaustive simulation results, based on solar radiation data supplied by the Australian Bureau of Meteorology, confirm the efficiency of the proposed algorithms. In particular, in terms of service time, the number of deadline misses and green energy utilization, the proposed algorithms outperform the state-of-the-art alternative up to 6%, 17% and 12%, respectively.

2024, Future Generation Computer Systems

2024

With the mounting interest on cognitive radio (CR) technology in wireless communication systems, it is anticipated that CR-enabled vehicular networks will play a vigorous role in the enrichment of communication efficiency in vehicular network. This paper presents a Cognitive Radio enabled VANET for multi-agent based intelligent traffic management system. A skeleton for intelligent learning and decision mechanism for Central Traffic Management is also proposed and discussed in the model. The proposed model has two distinct information exchange system layouts. One is dynamic (vehicle to vehicle) and another is semi-dynamic (vehicle to Road-Side-Unit). For the vehicle-2-vehicle communication, the proposed model assumes that vehicles can communicate with each other using available wireless resources with the help cognitive radio mechanism. This paper also introduces a cluster formation scheme for better accuracy in data transmission among vehicles. The dynamic module of the proposed mod...

2023, 2012 The 11th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net)

Nowadays our vehicles incorporate multiple sensors that collect information not only about speed or fuel consumption, but also about weather (rain sensors), road state (ESP sensors), etc. Achieving a distributed traffic monitoring system that combines all this information gathered by different vehicles is a challenging task. In particular, we consider that vehicular ad-hoc networks (VANETs) are particularly suitable for this endeavor. VANETs present some characteristics such as a high mobility, a variable node density or frequent radio obstacles that are prone to generate network partitions. Under these conditions, a complete multi-hop path between the sender and the receiver of a message is rarely available. Previous studies have proposed using DTN protocols to address these problems. In this paper we propose a collecting sensor data routing protocol, called Mapbased Sensor-data Delivery Protocol (MSDP), which combines information about the road map and the nodes' future routes to improve data delivery. Through simulations based on accurate mobility and propagation models, and using the well-known Epidemic protocol as reference, we demonstrate that our proposal is able to significantly reduce channel usage, while maintaining or even improving the packet delivery ratio.

2023, IEEE Access

VANET routing aims to interconnect vehicular nodes via wireless links to transmit network packets. The goal of VANET routing is to reduce the communication cost, decrease the latency and increase the interoperability of the network. In this paper, a cluster-based routing protocol for VANETs called CNN is proposed. It takes advantage of the Hamming distance technique to partition a vehicular network into information-centric clusters based on the mobility of vehicular nodes. However, the proposed approach uses a named data network technique to forward network transmissions according to a hybrid communication model of Dedicated Short Range Communication and Mobile Agent. The former focuses on reactive intracluster link establishment, while the latter proactively forwards inter-cluster transmissions. A simulation measures the performance of the proposed approach and compares the results with two well-known VANET routing protocols: AODV and A-STAR. According to the simulation results, CNN outperforms the benchmarks in average end-to-end delay, path length, data delivery ratio, and total transmitted traffic, especially when the network is dense and the nodes are highly mobile.

2023, Iet Communications

This study proposes an effective delay-aware packet forwarding (DAPF) for driving safety and efficiency in vehicular networks. Vehicular ad hoc networks have been an emerging technology for vehicular communication for the last few decades, but still, it has many challenging issues such as on-time dissemination of message at an emergency situation (e.g. accident and obstacle) to the vehicles having the same route to their destinations. This on-time dissemination can prevent further collision of vehicles and road traffic congestion. In this study, the authors propose an effective way of selecting the processing position of a message among a cluster head, roadside unit (RSU), and vehicular cloud, on the basis of total delivery time and cost. They further show that this effective selection and on-time dissemination helps the upcoming vehicles to select an appropriate route to their destinations. Through simulation results, it is shown that their DAPF outperforms other schemes in terms of packet delivery time. ′ lowest processing cost T Te vehicle's estimated travelling time T Tn vehicle's new travelling time IET Commun.

2023, Bulletin of Electrical Engineering and Informatics

Vehicular ad-hoc network (VANET) is a technique that uses cars moved in cities or highways as nodes in wireless networks. Each car in these networks works as a router and allows cars in the range to communicate with each other. As a result of this movement, some cars will become out of range, but these networks can connect to the internet and the cars in these networks can connect to each other. This research proposes a unique clustering strategy to improve the performance of these networks by making their clusters more stable. One of the biggest problems these networks face is traffic data, which consumes network resources. Agent based modeling (ABM) evaluates better networks. The evaluation showed that the proposed strategy surpasses earlier techniques in reachability and throughput, but ad hoc on-demand distance vector (AODV) (on-demand/reactive) outperforms it in total traffic received since our hybrid approach needs more traffic than AODV.

2023

In recent years, vehicular ad-hoc networks (VANETs) is one of the rapid growing technology to form a network of vehicles and between vehicles and roadside units (RSUs) to provide a variety of services like safety, traffic efficiency and infotainment information to its drivers and passengers. In this paper, we have considered the communications are from V2I, I2V, I2I and on the basis of scheduling algorithm vehicles can download data from RSU. Usually vehicles may request for the same data, therefore we use multicasting techniques to download data from RSU which reduces bandwidth and better scheduling performance. As vehicles are moving at a high speed, it may not be possible to download all the data from the service region of a single RSU and this will be forwarded to the nearby RSU. In our scheme we use SDN based VANET structure where SDN server push content information to the designated RSUs through switches and then to the respective vehicle.

2023, International Journal of Computing and Digital Systemss

Mobile Ad-Hoc Networks (MANETs) is a spontaneous network that facilitates communication among nodes without a centralized-control device unlike the infrastructure network category. One of the major challenges with MANETs and Vehicular Ad-Hoc Networks (VANETS) in mobile communication is the problem of connectivity between Mobile Nodes (MNs). This dilemma occurs as a result of high mobility of nodes moving farther from each other in MANETs or VANETS or moving away from the base station as in a cellular network or in a Mobile Infrastructure Ad Hoc Networks (MI-VANETs) as a result of propagation effects. Mobility of nodes is one of the major impacts of routing in every mobile and wireless network because of high dynamic nature of mobile environments. Several factors that influence the evaluation of the networks depend mainly on the implementation of the mobility model and the mobility model in turn depends on several factors of the environment. This paper evaluates the impact of communication and transmission range on network connectivity due to high mobility of nodes in a mobile and wireless environment. The results obtained through derived mobility metrics and Rate Adaption (RA) show that communication range has impact on connectivity in a highly mobile environment such as in vehicular communications. MN in this context is same as vehicles in this article.

2023, Journal of Cloud Computing

Much research has focused on task offloading in fog-enabled IoT networks. However, there is an important offloading issue that has hardly been addressed—the impact of different virtualization modes on task response (TR) time. In the present article, we bridge this gap, introducing three virtualization modes, and characterizing the TR time under each. In each mode the virtual machines (VM) at the fog are customized differently, leveraging VM elasticity. In the perfect virtualization mode, the VM is customized to match exactly the computational load of the incoming task. This ensures that each task, regardless of which VM it goes to, will have the same service time. In the semiperfect virtualization mode, a less stringent, thus more practical, alternative, the VM is customized to match roughly the computational load of the incoming task. This results in a uniformly distributed task service time. Finally, in the baseline virtualization mode, the VM is customized to just be fast, with n...

2023, International Journal of Advanced Research in Computer Science and Software Engineering

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing a...

2023, Nucleation and Atmospheric Aerosols

The weight loss occurs if we eat fewer calories than we burn. The rate of burn calories depends on both metabolism and body composition. This paper discusses the dynamics of weight loss by regulating caloric intake. Therefore, it is necessary to prepare a daily diet menu based on caloric intake. Calories required by each range from 2000-2500 kcal. We propose a simple mathematical model used to simulate the individual weight change to understand the influence of menu recommendation for individuals to lose or gain weight. We develop one dimensional differential equation of weight change and linear programming for the menu schedule. The weight change model is constructed using the concept of energy balance equation between energy intake and energy expenditure. Linear programming is applied to select the diet menu for breakfast, morning tea, lunch, evening tea and dinner with noticed aspects include the total calories and nutritional components (carbohydrates, protein, fat, and fiber).

2023, 2015 IEEE International Conference on Communication Workshop (ICCW)

In this paper, we compare a method for selecting transmission antenna based on road curvature to a method based on periodically alternating between left and right hand side transmission antennas. Both methods aim to improve the success rate for communication between participants in a platoon of vehicles. Moreover, we propose the data age metric for online use as input to the algorithm controlling the inter-vehicle distance in platooning, e.g. to decide appropriate gap between the vehicles depending on the V2V communication quality. The methods have been evaluated through V2V communication measurements performed using heavy duty vehicles on public highway. We show that, when using the curvature-based method, a 150 ms data age deadline is only missed approximately half as often compared to when periodically alternating between left and right hand side transmission antennas. The methods have also been compared for different antenna combinations.

2023, IEEE Transactions on Vehicular Technology

Vehicular Edge Computing (VEC) has gained popularity due to its ability to enhance vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power vehicles to offload computation-intensive and delay-sensitive applications, making it a promising solution. However, optimal resource allocation between edge servers is a complex issue due to vehicle mobility and dynamic data traffic. To address this issue, we propose a Lyapunov-based Multi-Agent Deep Deterministic Policy Gradient (L-MADDPG) method that jointly optimizes computing task distribution and radio resource allocation to minimize energy consumption and delay requirements. We evaluate the trade-offs between the performance of the optimization algorithm, queuing model, and energy consumption. We first examine delay, queue and energy models for task execution at the vehicle or RSU, followed by the L-MADDPG algorithm for jointly optimizing task offloading and resource allocation problems to reduce energy consumption without compromising performance. Our simulation results show that our algorithm can reduce energy consumption while maintaining system performance compared to existing algorithms.

2023, Journal of Cloud Computing

2023, Bulletin of Electrical Engineering and Informatics

2023, 2010 Sixth International Conference on Intelligent Environments

Avanti is an international and multidisciplinary project, were undergraduate students, from different backgrounds, have the challenge to design an intelligent vehicle for the Mexican elderly in 2020. This venture is motivated by the convergence of a set of different initiatives: the creation of a new Technology Park, the desire to create a new technology-based businesses and the to need to attract students, innovators and entrepreneurs to propose new solutions to global needs. In this work we are assisted by a group of experts from different geographical regions (Mexico, Spain, Italy and United Kingdom) who help teams of students address this challenge. This short paper presents our work-in-progress by introducing the concepts, people (some 23 teams of students) and challenges associated with this project.

2023, IEEE Transactions on Vehicular Technology

Vehicular Edge Computing (VEC) systems exploit resources on both vehicles and Roadside Units (RSUs) to provide services for real-time vehicular applications that cannot be completed in the vehicles alone. Two types of decisions are critical for VEC: one is for task offloading to migrate vehicular tasks to suitable RSUs, and the other is for resource allocation at the RSUs to provide the optimal amount of computational resource to the migrated tasks under constraints on response time and energy consumption. Most of the published optimization-based methods determine the optimal solutions of the two types of decisions jointly within one optimization problem at RSUs, but the complexity of solving the optimization problem is extraordinary, because the problem is not convex and has discrete variables. Meanwhile, the nature of centralized solutions requires extra information exchange between vehicles and RSUs, which is challenged by the additional communication delay and security issues. The contribution of this paper is to decompose the joint optimization problem into two decoupled subproblems: task offloading and resource allocation. Both subproblems are reformulated for efficient solutions. The resource allocation problem is simplified by dual decomposition and can be solved at vehicles in a decentralized way. The task offloading problem is transformed from a discrete problem to a continuous convex one by a probability-based solution. Our new method efficiently achieves a near-optimal solution through decentralized optimizations, and the error bound between the solution and the true optimum is analyzed. Simulation results demonstrate the advantage of the proposed approach.

2023, 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)

The Delay Tolerant Networks (DTN) approach is considered the best strategy to address the specific issues of the VANETs, namely high mobility, variable node density or frequent radio obstacles. Several protocols have been proposed for DTNs, being the epidemic routing (and variations of it) the most representative protocol. Nevertheless, the availability of navigation systems, thanks to which each vehicle is aware of its location within a map, introduces the possibility for a new routing approach, known as Geographic Routing. In this paper we analytically evaluate the performance of our previously presented Map-based Sensor-data Delivery Protocol (MSDP). We introduce an analytical model that takes into account the effect of constrained buffers. The results show that adopting the Map-based Sensor-data Delivery Protocol (MSDP) routing mechanism allows achieving a reasonable delivery time with an insignificant overhead compared with epidemic routing.

2023, 2012 The 11th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net)

2023, PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2020 (MATHTECH 2020): Sustainable Development of Mathematics & Mathematics in Sustainability Revolution

2023, ACM Transactions on Embedded Computing Systems

Real-time traffic updates, safety and comfort driving, infotainment, and so on, are some envisioned applications in vehicular networks. Unlike traditional broadcast, network-coding-assisted broadcast can satisfy multiple vehicles with different data items in a coded form. However, server side encoding requires the prior knowledge about vehicles’ cache information for the successful decoding at the vehicles’ sides. The explicit cache upload from vehicles to Road Side Unit (RSU) wastes upload bandwidth. In multi-RSU vehicular networks, we propose a Cooperative Cache Transfer-based On-demand Network Coded Broadcast called CCTCB. In the proposed CCTCB approach, vehicles do not need to upload their cache information to the server, rather the RSU server learns the vehicles’ cache intrinsically. We derive a probabilistic model to analyze the coding opportunity in the proposed cooperative cache transfer mechanism incorporating vehicle mobility. The comprehensive simulation results validate ...

2023, 2010 Sixth International Conference on Intelligent Environments

2023

2023, INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY

In this paper we describe here the diagnosis the dynamic topology in a faulty environment. In this paper we have optimize that type of network in which less nodes are used to reach source to destination so that data loss are reduced. we have compare the dataÂ loss after optimize the new path to reach the source to destination. In dynamic topology nodes are free to move randomly. Mobile stations from an arbitrary topology.

2023, ACM Transactions on Modeling and Computer Simulation

2023, 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)

2023, Wireless Personal Communications

Vehicular Ad hoc Networks mainly depends on the cloud computing for the services like storage, computing and networking. With the increase in the number of vehicles connected to the cloud, the problems like network congestion and increased delay arises. Thus, to solve such issues new technology is proposed i.e. fog computing. Fog Enhanced Vehicular Services (FEVS) provides the resources for computing, storage etc. for the vehicles but at the edge of the network. The proposed algorithms are simulated using the cloudsim and cloud reports tools, results are analyzed and compared using the cloud analysts tool. Better resource utilization is achieved for the proposed algorithm compared to other algorithms. FEVS model proves to be better than a cloud-only model. Proposed algorithm produces less latency, less response time, low Virtual Machine cost and percentage of utilization of resources is more compared to the cloud-only model.

2023, IEEE Transactions on Cloud Computing

The surge of medical and e-commerce applications has generated tremendous amount of data, which brings people to a so-called "Big Data" era. Different from traditional large data sets, the term "Big Data" not only means the large size of data volume but also indicates the high velocity of data generation. However, current data mining and analytical techniques are facing the challenge of dealing with large volume data in a short period of time. This paper explores the efficiency of utilizing the Normal Distribution (ND) method for splitting and processing large volume medical data in cloud environment, which can provide representative information in the split data sets. The ND-based new model consists of two stages. The first stage adopts the ND method for large data sets splitting and processing, which can reduce the volume of data sets. The second stage implements the ND-based model in a cloud computing infrastructure for allocating the split data sets. The experimental results show substantial efficiency gains of the proposed method over the conventional methods without splitting data into small partitions. The ND-based method can generate representative data sets, which can offer efficient solution for large data processing. The split data sets can be processed in parallel in Cloud computing environment.

2023, IEEE Transactions on Cloud Computing

2023, International Journal of Ad Hoc and Ubiquitous Computing

The packet delivery ratio and throughput in Vehicular Ad Hoc Networks (VANETs) depend on the network connectivity and degrade as the connectivity decreases. A delay-tolerant approach increases the packet delivery ratio in partially connected networks. In the previous studies, the packet lifetime and the vehicle's packet carry time are determined to maximize the packet delivery ratio in partially connected VANETs. However, IPv6 uses the hop count in the Hop Limit field instead of using seconds in the TTL field, as in IPv4. Similarly, although IPv4 packets are designed to carry the packet lifetime in seconds in the TTL field, this field is used for the hop count in practice. In this case, there is no mechanism to determine how long vehicles will carry packets in VANETs when delivering packets in a delay-tolerant fashion. In this study, we propose approaches for the delivery of IPv6 packets in a delay-tolerant fashion in partially connected networks. We also propose another method that enhances these proposed approaches and optimizes the packet delivery ratio. The proposed approaches are simulated to observe performance results. Our analysis shows that the proposed approaches can be easily adopted for IPv6/IPv4 packets to be delivered in a delay-tolerant fashion. Additionally, we observe that our approaches increase the packet delivery ratio in partially connected Vehicular Ad Hoc Networks and can also be used in networks where the nodes are mobile or connections get broken frequently.

2023, 2010 Sixth International Conference on Intelligent Environments

2023

2023, Applied Sciences

It is expected that the pervasive deployment of multi-tier 5G-supported Mobile-Fog-Cloudtechnological computing platforms will constitute an effective means to support the real-time execution of future Internet applications by resource- and energy-limited mobile devices. Increasing interest in this emerging networking-computing technology demands the optimization and performance evaluation of several parts of the underlying infrastructures. However, field trials are challenging due to their operational costs, and in every case, the obtained results could be difficult to repeat and customize. These emerging Mobile-Fog-Cloud ecosystems still lack, indeed, customizable software tools for the performance simulation of their computing-networking building blocks. Motivated by these considerations, in this contribution, we present VirtFogSim. It is a MATLAB-supported software toolbox that allows the dynamic joint optimization and tracking of the energy and delay performance of Mobile-Fog-C...

2023, IEEE Transactions on Vehicular Technology

In this contribution, we design and test the performance of a distributed and adaptive resource management controller, which allows the optimal exploitation of Cognitive Radio and soft-input/soft-output data fusion in Vehicular Access Networks. The goal is to allow energy and computing-limited car smartphones to utilize the available Vehicular-to-Infrastructure WiFi connections for performing traffic offloading towards local or remote Clouds by opportunistically acceding to a spectrallimited wireless backbone built up by multiple Roadside Units (i.e., Cloudlets). We cast the resource management problem into a suitable constrained stochastic Network Utility Maximization problem and derive the optimal cognitive resource manager which dynamically allocates the access time-windows at the serving Roadside Units (i.e., the Access Points), together with the access rates and traffic flows at the served Vehicular Clients (i.e., the secondary users of the wireless backbone). The developed controller provides hard reliability guarantees to the Cloud Service Provider (i.e., the primary user of the wireless backbone) on a per-slot basis. Furthermore, it is able to acquire context information about the currently available bandwidthenergy resources, so as to quickly adapt to the mobility-induced abrupt changes of the state of the vehicular network. Index Terms-Cloud-assisted vehicular networks, Cognitive Radio access, Energy and bandwidth limitations, Distributed resource management. I. MOTIVATION AND GOAL Vehicular networking is in the progress of merging with the Mobile Internet and Mobile Cloud Computing (MCC), so as to constitute an integrated communication/computing information platform [1]. While safe navigation has always been the prime motivation behind vehicular communications, currently it is believed that vehicular networks will provide communication infrastructures for a much broader range of large-scale high-mobile applications, and Vehicular Cloud Computing (VCC) is emerging as the most appealing solution. However, up to date, there are at least two main challenges which hamper the rapid development of VCC infrastructures. First, smartphones are usually constrained by limited resources, and the possible utilization of vehicular On Board Units (OBUs) mitigates (but does not resolve) the energy problem [2]. Second, it is expected that the frequency bandwidth of 75 M Hz to be allotted in the next years to vehicular networked services will be sufficient for supporting safety and advertisement applications, but it will be still scarce for

2023, IEEE Transactions on Vehicular Technology

2023, Procedia Computer Science

Wireless technology provides effective and efficient communication between the mobile devices. Vehicular Ad-hoc Network (VANET) is the most influencing field to researchers due to vehicle density, traffic congestion, accidents, etc. In order to overcome these problems, several research works are going on especially in the field of the communication among moving nodes and resources. The necessity of efficient scheduling algorithm is highly required for successful exploitation of a broadcast medium and data transmission. Data scheduling becomes an important issue when vehicles access data through Road Side Unit (RSU). Therefore, to deliver the messages to the recipient properly and accurately, scheduling algorithms have to be emphasized in VANET. In this literature, various data scheduling policies are described to manage the data accessibility from the RSU's to the vehicles. This paper presents the categorization of the scheduling algorithm on the basis of a type of parameters used in the distribution of data items. Paper analysis that the efficiency of data scheduling in VANET can be improved using CLOUD technology as an storage service. Paper shows the simulation results of data scheduling using dynamic cloud comparing with previous existing algorithms. Through these comparative results, it shows that the proposed work performs superior and increases QoS, i.e., bandwidth utilization, energy consumption and total time.

2023, 2010 Sixth International Conference on Intelligent Environments

2023, IEEE Transactions on Cloud Computing

2023, 2018 IEEE Globecom Workshops (GC Wkshps)

Vehicular networks are a core component in Intelligent Transportation Systems (ITS) enabling communication among vehicles for collaborative applications. One example of such an application that may bring benefits in reducing travel time, fuel consumption and improving safety is platooning. This application coordinates a group of vehicles that travel together, doing automatic control of inter-distances and speeds [1]. A critical part of this application is the vehicle-to-vehicle (V2V) communication highlighting the importance of improving the channel quality. Existing ITS standards, namely WAVE (USA) and ITS-G5 (Europe), use IEEE 802.11p DSRC (Dedicated Short-Range Communication) [2] that relies on CSMA/CA distributed access arbitration. Despite the Collision Avoidance attribute collisions can still occur and the channel quality can degrade significantly in dense traffic environments.

2023

Vehicular Ad-hoc Networks (VANETs) can enable a wide range of vehicle coordination applications such as platooning. A good use of the communication channel is paramount for an adequate quality of service. Currently, IEEE 802.11p is the standard used in VANETs and relies on CSMA/CA, which is prone to collisions that degrade the channel quality. This has led to recent proposals for TDMA-based overlay protocols that synchronize vehicles beacons to prevent or reduce collisions. In this paper, we propose RA-TDMAp that puts together properties of two previous works. On one hand, it allows the nodes in one platoon to remain synchronized even in the presence of interfering traffic, e.g. from other vehicles, by adapting the phase of the TDMA round to escape periodic interference. On the other hand, it reduces channel occupation by having just the leader transmitting with high power, to reach all the platoon at once, while the followers transmit with low power. The order of transmission is su...