Cross-Layering Optimization for Low Energy Consumption in Wireless Body Area Networks

Yali WANG  Lan CHEN  Chao LYV  

IEICE TRANSACTIONS on Communications   Vol.E97-B    No.9    pp.1808-1816
Publication Date: 2014/09/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E97.B.1808
Type of Manuscript: Special Section PAPER (Special Section on Ambient Intelligence and Sensor Networks)
wireless body area networks,  cross-layering,  low energy consumption,  sleep mechanism,  

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Wireless body area networks (WBANs) have to work with low power and long lifetime to satisfy human biological safety requirements in e-health; therefore extremely low energy consumption is significant for WBANs. IEEE 802.15.6 standard has been published for wearable and implanted applications which provide communication technology requirements in WBANs. In this paper, the cross-layering optimization methodology is used to minimize the network energy consumption. Both the priority strategy and sleep mechanism in IEEE802.15.6 are considered. Macroscopic sleep model based on WBAN traffic priority and microscopic sleep model based on MAC structure are proposed. Then the network energy consumption optimization problem is solved by Lagrange dual method, the master problem are vertically decomposed into two sub problems in MAC and transport layers which are dealt with gradient method. Finally, a solution including self-adaption sleep mechanism and node rate controlling is proposed. The results of this paper indicate that the algorithm converges quickly and reduces the network energy consumption remarkably.