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-List Of Titles -A Novel genetic-fuzzy power controller with feedback for interference mitigation in Wireless Body Area Networks

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/163683

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Title
A Novel genetic-fuzzy power controller with feedback for interference mitigation in Wireless Body Area Networks
Related
Vehicular Technology Conference (73rd : 2011) (15 - 18 May 2011 : Budapest, Hungary)
Related
2011 IEEE 73rd Vehicular Technology Conference : proceedings, p.1-5
DOI
10.1109/VETECS.2011.5956462
Related
IEEE Vehicular Technology Conference : VTC
Publisher
Piscataway, NJ : IEEE
Date
2011
Author/Creator
Kazemi, Ramtin
Author/Creator
Vesilo, Rein
Author/Creator
Dutkiewicz, Eryk
Description
Wireless Body Area Networks (WBANs) are an emerging technology for short-range wireless communication inside, on or around the human body, mainly for medical applications. A WBAN's scarcest resource is power. Due to the mobility of WBANs as well as the limited number of available channels, signals of neighboring WBANs can cause interference that may severely degrade the reliability and performance of the system and lead to more power consumption. In this paper, we propose a fast converging fuzzy power controller (FPC) with feedback whose inputs are the current interference power level, Signal-to-Interference-and-Noise (SINR) and the current transmission power level to provide interference mitigation in WBANs. We utilize a genetic algorithm to design and optimize the FPC to simultaneously maximize capacity, minimize power consumption and minimize convergence time. We compare the performance of the proposed approach with two game-theory power control approaches. Our simulation results show that compared to these other approaches, the proposed FPC provides a substantial saving in power consumption as well as quick convergence that is independent of the number of nodes in the system, while sacrificing only a small amount of capacity.
Description
5 page(s)
Subject Keyword
Fuzzy logic
Subject Keyword
Game theory
Subject Keyword
Genetic algorithms
Subject Keyword
Interference
Subject Keyword
Power control
Subject Keyword
WBAN
Resource Type
conference paper
Organisation
Macquarie University. Dept. of Electronic Engineering

Identifier
http://hdl.handle.net/1959.14/163683
Identifier
ISBN:9781424483310
Identifier
ISSN:1550-2252
Identifier
mq_res-ext-2-s2.0-80052002636
Language
eng
Reviewed
Reviewed
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E-mail Address
Subject
"2011 IEEE 73rd Vehicular Technology Conference : proceedings"
 
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