Mobility

Trimming the Tree: Tailoring Adaptive Huffman Coding to Wireless Sensor Networks

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Executive Summary

Nodes in wireless sensor networks are generally designed to operate on a limited energy budget, and must consciously use the available charge to allow for long lifetimes. As the radio transceiver is the predominant power consumer on current node platforms, the minimization of its activity periods and efficient use of the radio channel are major targets for optimization. Data compression is a viable option to increase the packet information density, resulting in reduced transmission durations and thus allowing for optimized channel utilization. The computational and memory demands of many current compression algorithms however hamper their applicability on sensor nodes.

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