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Exploiting Channel Periodicity in Body Sensor Networks

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3 Author(s)
Nathan E. Roberts ; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA ; Seunghyun Oh ; David D. Wentzloff

This paper models the periodic characteristics of body sensor network (BSN) wireless channels measured using custom hardware in the 900-MHz and 2.4-GHz bands. The hardware logs received signal strength indication (RSSI) values of both bands simultaneously at a sample rate of 1.3 kS/s. Results from a measurement campaign of BSNs are shown and distilled to reveal characteristics of BSN channels that can be exploited for reducing the power of wireless communication. A new channel model is introduced to add periodicity to existing 802.15.6 WBAN path loss equations. New parameters, activity factor and location factor, are introduced to estimate the model parameters. Finally, a strategy for exploiting the periodic characteristics of the BSN channel is presented as an example, along with the power savings from using this strategy.

Published in:

IEEE Journal on Emerging and Selected Topics in Circuits and Systems  (Volume:2 ,  Issue: 1 )