Title
Enabling Interference-Aware and Energy-Efficient Coexistence of Multiple Wireless Body Area Networks With Unknown Dynamics.
Abstract
This paper presents an adaptive interference mitigation scheme for multiple coexisting wireless body area networks (WBANs) based on social interaction. The proposed scheme considers the mobility of nodes within each WBAN as well as the relative movement of WBANs with respect to each other. With respect to these mobile scenarios traffic load, signal strength, and the density of sensors in a WBAN are incorporated to optimize transmission time with synchronous and parallel transmissions to significantly reduce the radio interference and energy consumption of nodes. This approach leads to higher packet delivery ratio (PDR) and longer network lifetime even with nodes dynamically moving into and out of each others interference region. We make channel assignment more energy-efficient and further reduce power consumption using transmit power control with simple channel prediction. Simulation results show that our approach maintains optimum spatial reuse with a range of channel dynamics within, and between, coexisting BANs. This protocol based on social interaction is shown to mitigate interference and minimize power consumption, and increase the spatial reuse and PDR of each WBAN, while increasing network lifetime. In the context of the adaptive interference mitigation scheme proposed, this paper also reviews the state of the art in literature on mobility, MAC layer, and power control solutions for WBANs, as well as providing a summary of interference mitigation schemes previously applied for the coexistence of WBANs.
Year
DOI
Venue
2016
10.1109/ACCESS.2016.2577681
IEEE ACCESS
Keywords
Field
DocType
IEEE 802.15.6,interference mitigation,power control,spectral efficiency,wireless body area networks
Radio resource management,Wireless network,Wireless,Transmitter power output,Computer science,Power control,Computer network,Interference (wave propagation),Wireless sensor network,Energy consumption,Distributed computing
Journal
Volume
ISSN
Citations 
4
2169-3536
8
PageRank 
References 
Authors
0.49
41
5
Name
Order
Citations
PageRank
Samaneh Movassaghi1746.26
Akbar Majidi2110.87
Abbas Jamalipour32295219.61
David B. Smith434223.45
Mehran Abolhasan545148.95