Energy Efficient Data Processing in Sensor Networks

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Executive Summary

The sensor nodes in a Wireless Sensor Network (WSN) are tiny devices operating on batteries and employing low-power radio transceivers to enable communication. Minimizing energy consumption has been a major objective at all levels in sensor networks. In this paper, the authors present a data processing scheme that maintains the user-specified quality of data requirement while significantly reducing the overall energy consumption. Specifically, since communication dominates power usage in sensor networks, it exploits end user temporal coherency tolerances to reduce the amount of information transmitted by individual nodes.

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