Shama Siddiqui - Academia.edu (original) (raw)

Papers by Shama Siddiqui

The ubiquity of sensor technology and the Internet of Things prompted us to propose to develop an... more The ubiquity of sensor technology and the Internet of Things prompted us to propose to develop an end-to-end communication architecture for real-time digital dashboards to visualize the anxiety risks of a population during a pandemic, as in the case of COVID-19. Such an architecture can be regarded as the next-generation anxiety risk classification mean for the healthcare industry 4.0 as it will be capable of generating automated and quick actions through the use of analytics on the collected data and predefined thresholds. Based on Internet of Things and wearable healthcare sensors, the proposed end-to-end communication architecture is capable of detecting physiological data related to heart rate, blood pressure, and SPO2, and communicate them to remote cloud servers. Based on this collected data, the centralized dashboard will classify in real time the patients of each geographic region involved according to a specific attribute, namely: normal, mild, moderate, high, severe, or ex...

Comparing ANN and SVM Algorithms for Predicting Exercise Routines of Diabetic Patients

2021 International Wireless Communications and Mobile Computing (IWCMC)

Wavelet Transform for Signal Processing in Internet-of-Things (IoT)

Wavelet Theory

The primary contribution of this chapter is to provide an overview of different denoising methods... more The primary contribution of this chapter is to provide an overview of different denoising methods used for signal processing in IoT networks from the perspectives of physical layer in the network. The chapter starts with the introduction to different kinds of noise that can be encountered in any kind of wireless communication networks, different kinds of wavelet transform and wavelet packet transform methods that can be used for denoising sensor signals in IoT networks and the different processing steps that are needed to be followed to accomplish wavelet packet transform for the sensor signals. Finally, a universal framework based on energy correlation analysis has been presented for denoising sensor signals in IoT networks, and such a framework can achieve considerable improvement in denoising performance reducing the effective noise correlation coefficient to 0.00001 or lower. Moreover, this method is found to be equally effective for Gaussian or impact noise or both.

Integrating federated learning with IoMT for managing obesity in smart city

Proceedings of the 1st Workshop on Artificial Intelligence and Blockchain Technologies for Smart Cities with 6G

Electronics

Alternative medicine techniques such as music therapy have been a recent interest of medical prac... more Alternative medicine techniques such as music therapy have been a recent interest of medical practitioners and researchers. Significant clinical evidence suggests that music has a positive influence over pain, stress and anxiety for the patients of cancer, pre and post surgery, insomnia, child birth, end of life care, etc. Similarly, the technologies of Internet of Things (IoT), Body Area Networks (BAN) and Artificial Neural Networks (ANN) have been playing a vital role to improve the health and safety of the population through offering continuous remote monitoring facilities and immediate medical response. In this article, we propose a novel ANN enabled IoT architecture to integrate music therapy with BAN and ANN for providing immediate assistance to patients by automating the process of music therapy. The proposed architecture comprises of monitoring the body parameters of patients using BAN, categorizing the disease using ANN and playing music of the most appropriate type over th...

FROG-MAC: A Fragmentation Based MAC Scheme for Prioritized Heterogeneous Traffic in Wireless Sensor Networks

Wireless Personal Communications

PD-MAC: Design and Implementation of Polling Distribution-MAC for Improving Energy Efficiency of Wireless Sensor Networks

International Journal of Wireless Information Networks

ADP-MAC: An Adaptive and Dynamic Polling-Based MAC Protocol for Wireless Sensor Networks

IEEE Sensors Journal

Sensors

Prioritizing the heterogeneous traffic for Wireless Sensor Networks (WSNs) imposes an important p... more Prioritizing the heterogeneous traffic for Wireless Sensor Networks (WSNs) imposes an important performance challenge for Internet of Things (IoT) applications. Most past preemptive MAC schemes are based on scheduling the high priority packets earlier than those of lower priority. However, in a majority of these schemes, high priority traffic must wait for the ongoing transmission of lower priority traffic due to the non-availability of an interruption mechanism. This paper presents the design and high-level implementation details of a fragmentation scheme (FROG-MAC) for heterogeneous traffic in WSN. FROG-MAC aims at guaranteeing quick transmission of high priority/emergency traffic by interrupting ongoing on channel transmissions. High level implementation of FROG-MAC has been developed in MATLAB as a proof of concept. Traffic of two priorities was generated and a single hop star topology of 100 nodes was used for the experiments. Effect of the proposed fragmentation scheme has bee...

A Taxonomy for MAC Protocols in Wireless Sensor Networks Based on Traffic Prioritization

Wireless Personal Communications

A Study on Channel Sharing for Congestion Control in WSN MAC Protocols

International Journal of Wireless Networks and Broadband Technologies

Congestion control in Wireless Sensor Networks (WSNs) has been an area of interest for researcher... more Congestion control in Wireless Sensor Networks (WSNs) has been an area of interest for researchers for ensuring timely delivery of data. A number of Multi-channel MAC protocols have been proposed which guarantee parallel and collision free transmissions. This article proposes to evaluate an existing congestion control scheme that was developed for multi-channel WSN MAC protocols dealing with traffic of different priorities. The existing scheme proposed prioritized channel sharing mechanism for nodes based on the Received Signal Strength (RSS) of each priority. The authors analyze the performance of the proposed scheme by comparing it with other channel sharing mechanisms. Four cases of hybrid channel sharing mechanisms, namely complete partitioning, complete sharing, partial sharing and prioritized sharing have been studied in this work for 2 traffic priorities. The authors have modeled the schemes for WSN applications where each node may have traffic of different priorities. Major ...

Towards dynamic polling: Survey and analysis of Channel Polling mechanisms for Wireless Sensor Networks

2016 International Conference on Intelligent Systems Engineering (ICISE), 2016

A survey on data aggregation mechanisms in wireless sensor networks

2015 International Conference on Information and Communication Technologies (ICICT), 2015

Achieving energy efficiency in Body Area Networks (BAN's) through avoiding spatially correlated contention

2015 International Conference on Information and Communication Technologies (ICICT), 2015

A Study on Channel Polling Mechanisms for the MAC Protocols in Wireless Sensor Networks

International Journal of Distributed Sensor Networks, 2015

ES-MAC: Energy Efficient Sensor-MAC protocol for Wireless Sensor networks

2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2013

ABSTRACT Energy management is one of the main r e s ear ch issues associated with Wireless Sensor... more ABSTRACT Energy management is one of the main r e s ear ch issues associated with Wireless Sensor network. An optimum means of preserving energy must always be deployed. Energy management in networks is also considered as one of the most crucial topics in the development of green networks. In this paper, we propose a modified duty-cycle based MAC protocol named as ES-MAC (Energy Efficient Sensor MAC). It involves energy efficient mechanism for wireless sensor motes by making them sleep when idle and by reducing the number of transmitted packets using Selective Data Transmission (SDT). Sleep intervals are improved by using the concept of Dynamic Data Cycle (DDC). The proposed protocol is shown to be efficient by test bed implementation, which is our major contribution. We compared the results of ES-MAC with two control cases. TinyOS and Crossbow motes are used for implementing the nested C code.

Analysis and Simulation of Propagation Model for Wireless Communication of Bio-Sensors

2010 International Conference on Computational Intelligence and Software Engineering, 2010

It has become possible to implant a network of Bio sensor nodes inside human body for remote heal... more It has become possible to implant a network of Bio sensor nodes inside human body for remote health monitoring, diagnostic and prosthetic purposes. For communication of these sensors the channel available is human tissue. The sensors communicate using wireless technology, by sending information as electromagnetic (EM) radio frequency (RF) waves. These signals encounter a significant loss during transmission because this

Analysis and Simulation of Propagation Model for Wireless Communication of BioSensors

2010 International Conference on Computational Intelligence and Software Engineering, 2010

Analytical Model for Delay Distribution of PRMAC

2013 11th International Conference on Frontiers of Information Technology, 2013

ABSTRACT Delay is one of the most important parameters of interest while providing QOS guarantees... more ABSTRACT Delay is one of the most important parameters of interest while providing QOS guarantees for Wireless Sensor Networks (WSN). Various MAC layer protocols for WSN have been proposed for efficient management of delay. Analyzing single hop and end to end delay using queuing analysis can provide significant help in modeling various real time WSN applications. This paper parameterizes the cross-layer analysis framework for investigating the single hop delay distribution of a cross layer WSN MAC protocol PRMAC. The analysis demonstrates how the methodology can be applied to a cross layer protocol embedding key details of the protocol such as impact of control packets (PION) modeling. An example of the analysis is illustrated using a single hop delay for a node with a small buffer.