Date Added: Jan 2013
Wireless sensor networks are resource constrain. They are limited power supply, bandwidth for communication, processing speed and memory space. The possible way of achieving maximum utilization of those resources is applying data compression on sensor data. Since processing data consumes less power than transmitting data in wireless medium. So it is effective to apply data compression before transmitting data for reducing power consumption by a sensor node. In this paper, the authors propose a LZW data compression algorithm particularly suited to be used on available commercial nodes of a WSN, where energy, memory and computational resources are very limited. Since processing data consumes less power than transmitting data in wireless medium.