A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks

A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks

As a kind of small-scale cyber-physical systems (CPSs), body sensor networks (BSNs) can provide the pervasive, long-term, and real-time health monitoring. A high degree of quality-of-service (QoS) for BSN is extremely required to meet some critical services. Interuser interference between different...

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Main Authors: Guowei Wu, Jiankang Ren, Feng Xia, Lin Yao, Zichuan Xu, Pengfei Shang
Format: Article
Language:English
Published: SAGE Publishing 2011-09-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2011/329524
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spelling doaj-41d6e3029eb04da4aa91747625f479042020-11-25T03:03:14ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772011-09-01710.1155/2011/329524329524A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor NetworksGuowei WuJiankang RenFeng XiaLin YaoZichuan XuPengfei ShangAs a kind of small-scale cyber-physical systems (CPSs), body sensor networks (BSNs) can provide the pervasive, long-term, and real-time health monitoring. A high degree of quality-of-service (QoS) for BSN is extremely required to meet some critical services. Interuser interference between different BSNs can cause unreliable critical data transmission and high bite error rate. In this paper, a game theoretic decentralized interuser interference reduction scheme for BSN is proposed. The selection of the channel and transmission power is modeled as a noncooperative game between different BSNs congregating in the same area. Each BSN measures the interference from other BSNs and then can adaptively select the suitable channel and transmission power by utilizing no-regret learning algorithm. The correctness and effectiveness of our proposed scheme are theoretically proved, and the extensive experimental results demonstrate that the effect of inter-user interference can be reduced effectively with low power consumption.https://doi.org/10.1155/2011/329524
collection DOAJ
language English
format Article
sources DOAJ
author Guowei Wu
Jiankang Ren
Feng Xia
Lin Yao
Zichuan Xu
Pengfei Shang
spellingShingle Guowei Wu
Jiankang Ren
Feng Xia
Lin Yao
Zichuan Xu
Pengfei Shang
A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks
International Journal of Distributed Sensor Networks
author_facet Guowei Wu
Jiankang Ren
Feng Xia
Lin Yao
Zichuan Xu
Pengfei Shang
author_sort Guowei Wu
title A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks
title_short A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks
title_full A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks
title_fullStr A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks
title_full_unstemmed A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks
title_sort game theoretic approach for interuser interference reduction in body sensor networks
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2011-09-01
description As a kind of small-scale cyber-physical systems (CPSs), body sensor networks (BSNs) can provide the pervasive, long-term, and real-time health monitoring. A high degree of quality-of-service (QoS) for BSN is extremely required to meet some critical services. Interuser interference between different BSNs can cause unreliable critical data transmission and high bite error rate. In this paper, a game theoretic decentralized interuser interference reduction scheme for BSN is proposed. The selection of the channel and transmission power is modeled as a noncooperative game between different BSNs congregating in the same area. Each BSN measures the interference from other BSNs and then can adaptively select the suitable channel and transmission power by utilizing no-regret learning algorithm. The correctness and effectiveness of our proposed scheme are theoretically proved, and the extensive experimental results demonstrate that the effect of inter-user interference can be reduced effectively with low power consumption.
url https://doi.org/10.1155/2011/329524
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