Title :
AIM: Adaptive Internetwork interference mitigation amongst co-existing wireless body area networks
Author :
Movassaghi, Samaneh ; Abolhasan, Mehran ; Smith, David ; Jamalipour, Abbas
Author_Institution :
Sch. of Commun. & Comput., Univ. of Technol., Sydney, NSW, Australia
Abstract :
This paper proposes a novel adaptive internetwork interference mitigation scheme, namely AIM, for environments with multiple coexisting Wireless Body Area Networks (WBANs). The proposed scheme, operating on a nodes´ traffic priority, packet length, signal strength and density of sensors in a WBAN, makes three major contributions as compared to the current literature. Firstly, it considers node-level interference for internetwork interference mitigation rather than considering each WBAN as a whole. Secondly, it allocates synchronous and parallel transmission intervals for interference avoidance in an optimal manner. Finally, it significantly reduces the number of orthogonal channels assigned to achieve a higher throughput as well as better usage of the scarce limitation of resources in WBANs. Simulation results show that our protocol achieves a significantly higher spatial reuse compared to existing approaches for interference mitigation in WBANs.
Keywords :
adaptive signal processing; body area networks; interference suppression; internetworking; protocols; spectral analysis; wireless channels; wireless sensor networks; AIM; WBAN; adaptive internetwork interference mitigation; interference avoidance; node traffic priority; orthogonal channels; packet length; parallel transmission interval; protocol; signal strength; spatial reusability; synchronous transmission intervals; wireless body area network; Channel allocation; Delays; Interference; Rayleigh channels; Sensors; Wireless sensor networks; IEEE 802.15.6; Interference Mitigation; Spectral Efficiency; WBANs; Wireless Body Area Networks;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GLOCOM.2014.7037177