Socially-Aware Interference Mitigation Game in Body-to-Body Networks

Amira Meharouech (1) , Jocelyne Elias (1) , Stefano Paris (1) , Ahmed Mehaoua (1)

1 LIPADE - EA 2517 - Laboratoire d'Informatique Paris Descartes

—Wireless wearable devices have recently gained increasing attention from industry in fields such as health, fitness, and entertainment. In this paper, we consider a dynamic system composed of several Body-to-Body Networks (BBNs) based on wearable technology, and we analyze the joint mutual and cross-technology interference problem due to the utilization of a limited number of channels by different transmission technologies (i.e., ZigBee and WiFi) sharing the same radio spectrum. To this end, we propose a game theoretical approach to address the problem of Socially-aware Interference Mitigation (SIM) in BBNs. Our approach considers a two-stage channel allocation scheme: a BBN-stage for inter-WBANs' communications and a WBAN-stage for intra-WBAN communications, involving mutual and cross-technology considerations at each stage. We develop best response algorithms that converge fast to Nash equilibrium points. Simulation results show the efficiency of SIM game in optimizing the channel allocation in BBNs. Index Terms—Body-to-Body Networks, 2.4 GHz ISM band, Cross-Technology Interference, Channel Allocation, Game Theory, Nash Equilibrium.

Domaines: Informatique [cs]

Amira Meharouech, Jocelyne Elias, Stefano Paris, Ahmed Mehaoua. Socially-Aware Interference Mitigation Game in Body-to-Body Networks. International Conference on NETwork Games, COntrol and OPtimization (NETGCOOP 2014), Oct 2014, Trento, Italy. ⟨hal-01176418⟩