research-article

An empirical study of link quality estimation techniques for disconnection detection in WBANs

Authors:

Marc M.C.W. Geilen,

Twan A.A. BastenAuthors Info & Claims

MSWiM '13: Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems

Pages 219 - 228

https://doi.org/10.1145/2507924.2507959

Published: 03 November 2013 Publication History

Abstract

Sensor nodes in many Wireless Body Area Network (WBAN) architectures are supposed to deliver sensed data to a gateway node on the body. To satisfy the data delivery requirements, the network needs to adapt itself to the changes in connection status of the body nodes to the gateway. As a prerequisite, Link Quality Estimation (LQE) needs to be done to detect the connection status of the nodes. The quality of links in WBANs is highly time-varying. The LQE technique should be agile to react fast to such link quality dynamics while avoiding frequent fluctuations to reduce the network adaptation overhead. In this paper, we present an empirical study on using different LQE methods for detecting the connection status of body nodes to the gateway in WBANs. A set of experiments using 16 wireless motes deployed on a body are performed to log the behavior of the wireless links. We explore the trade-offs made by each LQE method in terms of agility, stability, and reliability in detecting connection changes by analyzing the experimental data. Moreover, different LQE methods are used in an adaptive multi-hop WBAN mechanism, as a case study, and their impact on the Quality-of-Services (QoS) are investigated.

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Cited By

Rahmani ANaqvi RYousefpoor EYousefpoor MAhmed OHosseinzadeh MSiddique K(2022)A Q-Learning and Fuzzy Logic-Based Hierarchical Routing Scheme in the Intelligent Transportation System for Smart CitiesMathematics10.3390/math1022419210:22(4192)Online publication date: 9-Nov-2022
https://doi.org/10.3390/math10224192
Fernandes DFerreira AAbrishambaf RMendes JCabral J(2018)Survey and Taxonomy of Transmissions Power Control Mechanisms for Wireless Body Area NetworksIEEE Communications Surveys & Tutorials10.1109/COMST.2017.278266620:2(1292-1328)Online publication date: Oct-2019
https://doi.org/10.1109/COMST.2017.2782666
Nabi MGeilen MBasten T(2015)Wireless Body Area Network Data DeliveryTelemedicine and Electronic Medicine10.1201/b19210-13(211-230)Online publication date: 18-Nov-2015
https://doi.org/10.1201/b19210-13
Show More Cited By

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An empirical study of link quality estimation techniques for disconnection detection in WBANs

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cover image ACM Conferences

MSWiM '13: Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems

November 2013

468 pages

ISBN:9781450323536

DOI:10.1145/2507924

General Chairs:
Bjorn Landfeldt
Lund University, Sweden
,
Mónica Aguilar Igartua
Universitat Politàcnica de Catalunya, Spain
,
Program Chairs:
Ravi Prakash
University of Texas at Dallas, USA
,
Cheng Li
Memorial University of Newfoundland, Canada

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 November 2013

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MSWiM '13: 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 3 - 8, 2013

Barcelona, Spain

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MSWiM '13 Paper Acceptance Rate 42 of 184 submissions, 23%;

Overall Acceptance Rate 398 of 1,577 submissions, 25%

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Cited By

Rahmani ANaqvi RYousefpoor EYousefpoor MAhmed OHosseinzadeh MSiddique K(2022)A Q-Learning and Fuzzy Logic-Based Hierarchical Routing Scheme in the Intelligent Transportation System for Smart CitiesMathematics10.3390/math1022419210:22(4192)Online publication date: 9-Nov-2022
https://doi.org/10.3390/math10224192
Fernandes DFerreira AAbrishambaf RMendes JCabral J(2018)Survey and Taxonomy of Transmissions Power Control Mechanisms for Wireless Body Area NetworksIEEE Communications Surveys & Tutorials10.1109/COMST.2017.278266620:2(1292-1328)Online publication date: Oct-2019
https://doi.org/10.1109/COMST.2017.2782666
Nabi MGeilen MBasten T(2015)Wireless Body Area Network Data DeliveryTelemedicine and Electronic Medicine10.1201/b19210-13(211-230)Online publication date: 18-Nov-2015
https://doi.org/10.1201/b19210-13
Marinca DMinet P(2014)On-line learning and prediction of link quality in wireless sensor networks2014 IEEE Global Communications Conference10.1109/GLOCOM.2014.7036979(1245-1251)Online publication date: Dec-2014
https://doi.org/10.1109/GLOCOM.2014.7036979

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