More Web Proxy on the site http://driver.im/

article

Game theory-based global optimization for inter-WBAN interference mitigation

Authors:

Wen-Kai LiuAuthors Info & Claims

Wireless Communications & Mobile Computing, Volume 16, Issue 18

Pages 3439 - 3448

https://doi.org/10.1002/wcm.2769

Published: 25 December 2016 Publication History

Abstract

Researchers' attempts to monitor and collect environmental data have led to the emergence of Wireless Sensor Networks WSNs. In light of WSN, the monitoring target has been changed recently from the environment to the human or animal body: sensor nodes are placed on, in, or around the body to gather biosignals, which will be stored by a wearable sink node. But, WSN has an important problem, that is, the coverage problem, which may generate interference signals and influence system reliability during data transmission. Some biosignals are very important. The reduction of system reliability due to high latency or packet loss may result in significant loss of important data and can be life-threatening A patient's heartbeat or breathing stops but no staff receives the medical alerts. For this reason, this study makes use of a cooperative non-zero-sum game model for controlling the transmit power of the system as well as reducing the obstructions between simultaneous transmissions and avoiding contention between messages. In our simulated scenario, every WBAN is a regarded as a node. To avoid the situation that any one of the sensors stops running, this study further includes a global optimization technique to cover all nodes in the game and improve the time difference of sensors' lifetime. Copyright © 2017 John Wiley & Sons, Ltd.

References

[1]

Suryadevara NK, Mukhopadhyay SC. Smart Homes: Design, Implementation and Issues, 978-3-319-13556-4, Smart Sensors, Meas. and Instrumentation Volume 14. Springer International Publishing: London, United Kingdom, 2014.

[2]

Wu T-Y, Lin C-H. Low-SAR Path Discovery by Particle Swarm Optimization Algorithm in Wireless Body Area Networks. IEEE Sensors Journal 2015; Volume 15 Issue 2: pp.928-936

[3]

Ortiz MA, Ababneh N, Timmons N, Morrison J. Adaptive routing for multihop IEEE 802.15.6 Wireless Body Area Networks, 2012 20th International Conference on Software, Telecommunications and Computer Networks SoftCOM2012, 2012: pp.1-5.

[4]

Braem B, Blondia C. An Analysis of Requirements to Supporting Mobility in Body Area Networks. 2012 International Conference on Computing, Networking and Communications ICNC2012, 2012: pp.89-93.

[5]

Movassaghi S, Arab P, Abolhasan M. Wireless technologies for Body Area Networks: Characteristics and challenges, 2012 International Symposium on Communications and Information Technologies ISCIT2012, 2012: pp.42-47.

[6]

Gharehshiran ON, Attar A, Krishnamurthy V. Collaborative Sub-Channel Allocation in Cognitive LTE Femto-Cells:A Cooperative Game-Theoretic Approach. IEEE Transactions on Communications 2013; Volume 61 Issue 1: pp.325-334.

[7]

JESuris, LADaSilva, ZHan, ABMacKenzie, Cooperative Game Theory for Distributed Spectrum Sharing, IEEE International Conference on Communications, 2007: pp.5282-5287, 24-28.

[8]

Cheng Z-m, Zhou X-w, Ding Y, Miao X-n. A Cooperative Differential Game of Transmission Power Control in Wireless Networks. Wireless Personal Communications 2013; Volume 72 Issue 4: pp.2015-2027.

[9]

Tan CK, Sim ML, Chuah TC. Fair power control for wireless ad hoc networks using game theory with pricing scheme. IET Communications 2010; Volume 4 Issue 3: pp.322-333.

[10]

Zhu H, Ray Liu KJ. Noncooperative Power-control Game and Throughput Game Over Wireless Networks. IEEE Transactions on Communications 2005; Volume 53 Issue 10: pp.1625-1629.

[11]

Yang C-G, Li J-D, Tian Z. Optimal Power Control for Cognitive Radio Networks under Coupled Interference Constraints: A Cooperative Game-theoretic Perspective. IEEE Transactions on Vehicular Technology 2010; Volume 59 Issue 4: pp.1696-1706.

[12]

Wang X-B, Zhou X-W, Song J-D. Transmission Power Control and Routing Strategy based on Differential Games in Deep Space Exploration. Wireless Personal Communications 2012; Volume 67 Issue 4: pp.895-912.

[13]

Mukhopadhyay SC. Wearable Sensors for Human Activity Monitoring: A Review. IEEE Sensors Journal 2015; Volume 15 Issue 3: pp.1321-1330.

[14]

Tseng F-H, Cho H-H, Chou L-D, Shih TK, Chao H-C. An Efficient Power Conservation Scheme in Non-Zero-Sum Duty-Cycle Game for Wireless Sensor Networks, International Journal of Sensor Networks IJSNet, Volume 21 Issue 4, 2016

[15]

Kazemi R, Vesilo R, Dutkiewicz E, Fang G. Inter-network Interference Mitigation in Wireless Body Area Networks using Power Control Games, 2010 International Symposium on Communications and Information Technologies ISCIT2010: pp.81-86.

[16]

Jung BH, Akbar RU, Sung DK. Throughput, Energy Consumption, and Energy Efficiency of IEEE 802.15.6 Body Area Network BAN MAC Protocol, 2012 IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications PIMRC2012, 2012: pp.584-589.

[17]

Movassaghi S, Abolhasan M, Lipman J. Energy Efficient Thermal and Power Aware ETPA Routing in Body Area Networks, 2012 IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications PIMRC, 2012: pp.1108-1113.

[18]

Zhang Y, Feng C-H, Demirkol I, Heinzelman WB. Energy-Efficient Duty Cycle Assignment for Receiver-Based Convergecast in Wireless Sensor Networks, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010.

[19]

Wu G, Ren J, Xia F, Yao L, Xu Z, Shang P. A Game Theoretic Approach for Interuser Interference Reduction in Body Sensor Networks. International Journal of Distributed Sensor Networks 2011; pp.12.

[20]

Larsson EG, Jorswieck EA, Lindblom J, Mochaourab R. Game Theory and the Flat-Fading Gaussian Interference Channel. Signal Processing Magazine 2009; Volume 26 Issue 5: pp.18-27.

[21]

Leshem A, Zehavi E. Cooperative Game Theory and the Gaussian Interference Channel. IEEE Journal on Selected Areas in Communications 2008; Volume 26 Issue 7:

[22]

Shin S, Weidong S, Cho J. A Game Theory Model to Support QoS in Overlapped WBAN Environment, International Conference on Ubiquitous Information Management and Communication 2012 ICUIMC '12, Article No. 47, 20 Feb. 2012.

Digital Library

[23]

Fang G, Dutkiewicz E, Yu K, Vesilo R, Yu Y. Distributed Inter-Network Interference Coordination for Wireless Body Area Networks, Global Telecommunications Conference GLOBECOM 2010, 2010: pp.1-5, 6-10.

[24]

Kim S-Y, Kwon J-A, Lee, Park CS, Kim Y, Hwang H. Network Lifetime Improvement by Relaying Node Re-selection in the IEEE 802.15.6 BAN, 2012 Fourth International Conference on Ubiquitous and Future Networks ICUFN2012, 2012; pp.247-248.

Cited By

Roy SRoy MChowdhury C(2023)Novel Data Transmission Schemes for Inter-WBAN Networks Using Markov Decision ProcessWireless Personal Communications: An International Journal10.1007/s11277-023-10460-x131:2(897-919)Online publication date: 4-May-2023
https://dl.acm.org/doi/10.1007/s11277-023-10460-x
Shunmugapriya BParamasivan B(2022)Design of Three Tier Hybrid Architecture Combing TDMA-CDMA Techniques to Mitigate Interference in WBANWireless Personal Communications: An International Journal10.1007/s11277-022-09622-0125:2(1585-1614)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11277-022-09622-0
Negra RJemili IZemmari AMosbah MBelghith AAbdallah NHung CPapadopoulos G(2019)Leveraging the link quality awareness for body node coordinator (BNC) placement in WBANsProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297353(754-761)Online publication date: 8-Apr-2019
https://dl.acm.org/doi/10.1145/3297280.3297353

Game theory-based global optimization for inter-WBAN interference mitigation
1. General and reference
  1. Cross-computing tools and techniques
2. Networks
  1. Network types

Recommendations

Performance Analysis of an Access Scheme Based on Weighted Polling for WBAN
CBMS '15: Proceedings of the 2015 IEEE 28th International Symposium on Computer-Based Medical Systems

A weighted polling access scheme for Wireless Body Sensor Network (WBAN) is proposed in this paper. In this scheme the sensor nodes are divided into groups and each group has a weight. Each sensor node of each group can transmit packets up to the value ...
Sparse array synthesis for WBAN with minimised side lobe via convex optimisation

This study concerns sensor selection problem in wireless body area network (WBAN), which can reduce the burden of the human body and improve the energy efficiency. The authors highlight the sparse sensor array synthesis algorithm for different shapes of ...
Wireless technologies, medical applications and future challenges in WBAN: a survey
Abstract
Interest and need for Wireless Body Area Networks (WBANs) have significantly increased recently. WBAN consists of miniaturized sensors designed to collect and transmit data through wireless network, enabling medical specialists to monitor patients ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Wireless Communications & Mobile Computing

Wireless Communications & Mobile Computing Volume 16, Issue 18

December 2016

279 pages

ISSN:1530-8669

Issue’s Table of Contents

Publisher

John Wiley and Sons Ltd.

United Kingdom

Publication History

Published: 25 December 2016

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Roy SRoy MChowdhury C(2023)Novel Data Transmission Schemes for Inter-WBAN Networks Using Markov Decision ProcessWireless Personal Communications: An International Journal10.1007/s11277-023-10460-x131:2(897-919)Online publication date: 4-May-2023
https://dl.acm.org/doi/10.1007/s11277-023-10460-x
Shunmugapriya BParamasivan B(2022)Design of Three Tier Hybrid Architecture Combing TDMA-CDMA Techniques to Mitigate Interference in WBANWireless Personal Communications: An International Journal10.1007/s11277-022-09622-0125:2(1585-1614)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11277-022-09622-0
Negra RJemili IZemmari AMosbah MBelghith AAbdallah NHung CPapadopoulos G(2019)Leveraging the link quality awareness for body node coordinator (BNC) placement in WBANsProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297353(754-761)Online publication date: 8-Apr-2019
https://dl.acm.org/doi/10.1145/3297280.3297353

View Options

View options

Media

Figures

Other

Tables

View Issue’s Table of Contents