A Comparative Study of Interference and Mitigation Techniques in Wireless Body Area Networks

Shaik, Mahammad Firose; Narayana, Komanapalli Venkata Lakshmi; Subashini, M. Monica

doi:10.1007/s11277-017-4977-6

Cited by 20 publications

(8 citation statements)

References 88 publications

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“…(14)]. The result in (5) indicates that the noise power in the data can significantly increase the reconstruction errors, which means that we need more measurements (m-samples) to recover the source biosignal vector s r . An equivalent expression has been determined by [31], Note that when δ 2K approaches one, the reconstruction process becomes infeasible because of the high error rate.…”

Section: Cs Recoverymentioning

confidence: 99%

An Information-Theoretic Framework for Joint CS-ICA Recovery of Sparse Biosignals

Alghorani¹,

Ikki²

2023

Preprint

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<div>The aim of this study is to propose an information-theoretic framework for compressed sensing (CS)-independent</div><div>component analysis (ICA) algorithms that can be used for the joint recovery of sparse biosignals. The proposed framework supports real-time patient monitoring systems that enhance the detection, tracking, and monitoring of vital signs remotely via wearable biosensors. Specifically, we address the problem of sparse signal recovery and acquisition in wearable biosensor networks, where we</div><div>present a new analysis of CS-ICA algorithms from an information theory perspective to compute the sampling rate required to recover sparse biosignals corrupted by motion artifacts and interference, which to the best of our knowledge, has not been studied before. Our analysis and examples indicate that the proposed approach helps to develop low-cost, low-power edge computing devices while</div><div>improving data quality and accuracy for a given measurement. We also show that, under noisy measurement conditions, the CS-ICA algorithm can outperform the standard CS method, where a biosignal can be retrieved in only a few measurements. By implementing</div><div>the sensing framework, the error in reconstructing biosignals is reduced, and a digital-to-analog converter operates at low-speed and low-resolution.</div>

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Section: Cs Recoverymentioning

confidence: 99%

An Information-Theoretic Framework for Joint CS-ICA Recovery of Sparse Biosignals

Alghorani¹,

Ikki²

2023

Preprint

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“…This paper only reviews the routing methods of single WBAN, which is based on narrowband communication, under the standard of IEEE 802.15.6. But nowadays, more and more research for WBAN, based on IR-UWB [61,62,63,64,65], IR-UWB communication can achieve a short-distance high-speed data communication, at very low power consumption, which has a great potential in energy efficiency routing design of WBAN. In addition, this paper did not study the topological environment of multi-WBAN, which may have some limitations, but the research of single WBAN is the first step to realize the application.…”

Section: Prospects For Wban and Suggestions For Routing Designmentioning

confidence: 99%

A Survey of Routing Protocols in WBAN for Healthcare Applications

Zheng

et al. 2019

Sensors

129

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The emergence of wireless body area network (WBAN) technology has brought hope and dawn to solve the problems of population aging, various chronic diseases, and medical facility shortage. The increasing demand for real-time applications in such networks, stimulates many research activities. Designing such a scheme of critical events while preserving the energy efficiency is a challenging task, due to the dynamic of the network topology, severe constraints on the power supply, and the limited computation power. The design of routing protocols becomes an essential part of WBANs and plays an important role in the communication stacks and has a significant impact on the network performance. In this paper, we briefly introduce WBAN and focus on the analysis of the routing protocol, classify, and compare the advantages and disadvantages of various routing protocols. Lastly, we put forward some problems and suggestions, which provides ideas for the follow-up routing design.

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“…A more recent work classifies network interference and inter-network interference mitigation schemes for ZigBee-WBAN [48]. Interference Avoidance Algorithm (IAA) is proposed to prevent co-channel interference in WBAN [44].…”

Section: Related Workmentioning

confidence: 99%

MIQoS-RP: Multi-Constraint Intra-BAN, QoS-Aware Routing Protocol for Wireless Body Sensor Networks

et al. 2020

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Wireless Body Sensor Networks (WBSNs) are becoming increasing popular in a number of healthcare applications. A particular requirement of WBSNs in a healthcare system is the transmission of time-sensitive and critical data, captured by heterogeneous biosensors, to a base station while considering the constraints of reliability, throughput, delay and link quality. However, the simultaneous communication among various biosensors also raises the possibility of congestion on nodes or transmission links. Consequently, the likelihood of a number of untoward situations increases, such as disruption (high delays), packet losses, retransmissions, bandwidth exhaustion, and insufficient buffer space. The significant level of interference in the network leads to a higher number of collisions and retransmissions. The selection of an optimized route to cope with these issues and satisfy the QoS requirements of a WBSN has not been well-studied in the relevant literature. In this regard, we propose a multi-constraint, Intra-BAN, QoS-Aware Routing Protocol (referred to as MIQoS-RP) which introduces an improved, multi-facet routing metric to optimize the route selection while satisfying the aforementioned constraints. The performance of the proposed protocol is evaluated in terms of average end-to-end delay, throughput and packet drop ratio. The comparison of MIQoS-RP with the existing routing protocols demonstrates its efficacy in terms of the selected criteria. The results show that the MIQoS-RP achieves improved throughput by 22%, average end-to-end delay by 29% and packet drop ratio performance by 41% as compares to existing schemes.

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A Comparative Study of Interference and Mitigation Techniques in Wireless Body Area Networks

Cited by 20 publications

References 88 publications

An Information-Theoretic Framework for Joint CS-ICA Recovery of Sparse Biosignals

An Information-Theoretic Framework for Joint CS-ICA Recovery of Sparse Biosignals

A Survey of Routing Protocols in WBAN for Healthcare Applications

MIQoS-RP: Multi-Constraint Intra-BAN, QoS-Aware Routing Protocol for Wireless Body Sensor Networks

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