A framework for energy-scalable communication in high-density wireless networks

Authors:
Rex Min;Anantha Chandrakasan
Affiliations:
Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA
Venue:
Proceedings of the 2002 international symposium on Low power electronics and design
Year:
2002

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Abstract

Power-aware communication is essential for maximizing the life驴time of energy-constrained wireless devices. Applications running on such devices can cooperatively reduce communication energy by trading communication latency, reliability, or range for energy savings. We introduce a framework that exposes these high level trade-offs to a power-aware communication subsystem featuring variable-strength convolutional coding, an adjustable power ampli驴fier, and a voltage-scaled processor. An application programming interface (API) exposes an application's minimum quality con驴straints on the communication. These constraints are translated into energy-efficient parameter settings for the communication hardware. We apply our framework to improved communication energy models and measurements from a wireless microsensor node to effect over an order of magnitude of energy scalability.