Generic placeholder image

International Journal of Sensors, Wireless Communications and Control

Author(s): Shilpa Chaudhari*, Sumukh N. Aradhya, Sonia Benny Thomas, Sonali Pandey and Rohit Prasanna Sai Durbha

DOI: 10.2174/2210327911666210120120946

DownloadDownload PDF Flyer Cite As
A Survey on Game Theory based Interference Mitigation in WBASN

Page: [108 - 121] Pages: 14

  • * (Excluding Mailing and Handling)

Explore Articles
About Journal
For Authors
For Editors
For Reviewers

Abstract

A wireless body area network (WBAN) consists of several sensors implanted inside a body or placed on a body that help in the continuous monitoring of health conditions such as heart rate. The sensor nodes transmit the data to a central controller, which serves as a gateway to transmit this information to medical servers and then finally to the hospitals for medical attention. Due to multiple body area networks operating in the same frequency band, inter-interference takes place. The WBAN’s working in a small sphere cause inter-interference resulting in packet-loss and performance degradation. Hence, interference is a complex and challenging problem. Interference mitigations are receiving immense attention from the research community but are far from creating a complete solution. Usage of game theoretic approach to address the interference issues is very promising. This survey paper presents a comparative analysis of the existing game theoretic solutions designed to mitigate interference. As per our knowledge, this is the first survey work based on the usage of the game theory approach for interference mitigation in WBANs.

Keywords: Game theory, strategic game, nash equilibrium, interference mitigation, wireless body area sensor network, healthcare.

Graphical Abstract

[1]
Kazemi R, Vesilo R, Dutkiewicz E, Fang G. Inter-network interference mitigation in wireless body area networks using power control games. IEEE 10th International Symposium on Communications and Information Technologies. 81-6.
[2]
Kazemi R, Vesilo R, Dutkiewicz E. A novel genetic-fuzzy power controller with feedback for interference mitigation in wireless body area networks. IEEE 73rd vehicular technology conference (VTC Spring). 1-5.
[3]
Wang L, Zhou Q, Lin H. Toward High-Payoff Nash Equilibria for Interference Game between Body Area Networks. 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery. 433-7.
[http://dx.doi.org/10.1109/CyberC.2013.80]
[4]
Kazemi R, Vesilo R, Dutkiewicz E, Ren PL. Reinforcement learning in power control games for internetwork interference mitigation in wireless body area networks. International symposium on communications and information technologies (ISCIT). 256-62.
[http://dx.doi.org/10.1109/ISCIT.2012.6380902]
[5]
Meharouech A, Elias J, Paris S, Mehaoua A. Socially-aware interference mitigation game in body-to-body networks. 7th International Conference on NETwork Games, COntrol and OPtimization (NetGCoop). 162-3.
[6]
Du Dakun, Hu Fengye, Wang Feng, Wang Zhijun, Du Yu, Wang Lu. A game theoretic approach for inter-network interference mitigation in wireless body area networks. China Communications 2015; 12(9): 150-61.
[http://dx.doi.org/10.1109/CC.2015.7275253]
[7]
Xu Y. MengyaKe, Fen Liu, and QianmingZha. “A self-adaptive Power control algorithm based on game theory for inter-WBAN interference mitigation. 2nd IEEE International Conference on Computer and Communications (ICCC). 2873-7.
[8]
Jiang T, Wang H, Wu S. Interference Mitigation for Wireless Body Area Networks with Fast Convergent Game. GLOBECOM 2017-2017 IEEE Global Communications Conference. 1-6.
[http://dx.doi.org/10.1109/GLOCOM.2017.8255013]
[9]
Monsef E, Saniie J. A repeated game approach for interference mitigation of priority-based Body Area Networks. 2015 IEEE international conference on electro/information technology (EIT) 2015; 324-9.
[http://dx.doi.org/10.1109/EIT.2015.7293362]
[10]
Meharouech A, Elias J, Paris S, Mehaoua A. A game theoretical approach for interference mitigation in body-to-body networks. IEEE international conference on communication workshop (ICCW) 2015; 259-64.
[11]
Wu G, Ren J, Xia F, Yao L, Xu Z. DISG: Decentralized inter-user interference suppression in body sensor networks with non-cooperative game. 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing. 256-61.
[http://dx.doi.org/10.1109/UIC-ATC.2010.6]
[12]
Zou L, Liu B, Chen C, Chang WC. Bayesian game based power control scheme for inter-WBAN interference mitigation. IEEE global communications conference 2014; 240-5.
[http://dx.doi.org/10.1109/GLOCOM.2014.7036814]
[13]
Meharouech Amira, Elias Jocelyne, Mehaoua Ahmed. A two-stage game theoretical approach for interference mitigation in Body-to-Body Networks. Computer Networks 2016; 15-34.
[http://dx.doi.org/10.1016/j.comnet.2015.12.001]
[14]
Guowei Wu, Ren Jiankang, Xia Feng, Yao Lin, Xu Zichuan. Decentralized inter-user interference suppression in body sensor networks with non-cooperative game. arXiv preprint arXiv:10113092 2016.
[15]
Meharouech A, Elias J, Paris S, Mehaoua A. A game theoretical approach for interference mitigation in body-to-body networks. 2015 IEEE international conference on communication workshop (ICCW) 2015; 259-64.
[16]
Zhao T, Zhang L, Ding T, Pei Y, Sun W. Inter-BSN Interference Investigation for Body Sensor Netwoks. 2018 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC). 1-3.
[http://dx.doi.org/10.1109/CSQRWC.2018.8455805]
[17]
Farid S, Zia Y, Farhad A, Hussain FB. Homogeneous interference mitigation techniques for wireless body area network under coexistence: A survey. 2016 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob). 124-9.
[http://dx.doi.org/10.1109/APWiMob.2016.7811435]
[18]
Le TT, Moh S. Interference mitigation schemes for wireless body area sensor networks: A comparative survey. Sensors (Basel) 2015; 15(6): 13805-38.
[http://dx.doi.org/10.3390/s150613805] [PMID: 26110407]
[19]
Nji SB, Mujahid Tabassum D, Siang CH. A survey of major inter-user interference mitigation techniques in wireless body area networks. Proc 19th International Conf Transformative Science and Engineering, Business and Social Innovation (SDPS 2014). 149-55.
[20]
Tobón DP, Falk TH, Maier M. Context Awareness in WBANs: A Survey on Medical and Non-Medical Applications. IEEE Wirel Commun 2013; 20: 30-7.
[http://dx.doi.org/10.1109/MWC.2013.6590048]