Data compression algorithms for energy-constrained devices in delay tolerant networks

Sensor networks are fundamentally constrained by the difficulty and energy expense of delivering information from sensors to sink. Our work has focused on garnering additional significant energy improvements by devising computationally-efficient lossless compression algorithms on the source node. These reduce the amount of data that must be passed through the network and to the sink, and thus have energy benefits that are multiplicative with the number of hops the data travels through the network. Currently, if sensor system designers want to compress acquired data, they must either develop application-specific compression algorithms or use off-the-shelf algorithms not designed for resource-constrained sensor nodes. This paper discusses the design issues involved with implementing, adapting, and customizing compression algorithms specifically geared for sensor nodes. While developing Sensor LZW (S-LZW) and some simple, but effective, variations to this algorithm, we show how diff...

• Type: Conference
• Year: 2006
• Where: SENSYS
• Authors: Christopher M. Sadler, Margaret Martonosi
• Keywords: Compression Algorithms, Sensor, Sensor Networks, SENSYS 2006