ATPS: Adaptive Transmission Power Selection for Communication in Wireless Body Area Networks

Since radio links in wireless body area networks (WBANs) commonly experience highly time-varying attenuation due to topology instability, communication protocols with fixed transmission power cannot produce a very good performance in terms of energy consumption, interference range, and communication reliability. We explain that how channel behaviourcan be modelled using Markov Chain. Then, a power-adaptive communication protocol for WBANs is developed in which each sensor node can self-learn its channel and dynamically adjust itstransmission power. We evaluate our scheme through implementing the idea using the TelosB motes. The results demonstrate that our scheme can self-learn the channel behaviours, and reduce energy consumption and interference.

[1]  E. Gilbert.  Capacity of a burst-noise channel , 1960 .

[2]  Georg Carle,et al.  Framework model for packet loss metrics based on loss runlengths , 1999, Electronic Imaging.

[3]  Virtual Bridged,et al.  IEEE Standards for Local and Metropolitan Area Networks: Specification for 802.3 Full Duplex Operation , 1997, IEEE Std 802.3x-1997 and IEEE Std 802.3y-1997 (Supplement to ISO/IEC 8802-3: 1996/ANSI/IEEE Std 802.3, 1996 Edition).

[4]  Samarjit Chakraborty,et al.  ExPerio — Exploiting periodicity for opportunistic energy-efficient data transmission , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[5]  Subir Biswas,et al.  Transmission power assignment with postural position inference for on-body wireless communication links , 2010, TECS.