Power Efficient Adaptive Compression Technique for Wireless Sensor Networks
IOSR Journal of VLSI and Signal processing · 2013
Wireless sensor network consists of many tiny disposable low power devices called nodes, which are spatially distributed in order to perform various application global tasks.These nodes form a network by communicating with each other either directly or through other nodes.Sensor networks are fundamentally constrained by the difficulty and energy expense of delivery information from sensor to sink.Power saving is a critical issue in wireless sensor networks since sensor nodes are powered by batteries which cannot generally change or recharged.In this paper we have focused on radio communication which is often considered as the main cause of energy consumption.One of the solutions to this problem would be generally achieved by reducing the size of the transmitted/received data through data compression.A new adaptive compression technique will be considered for lossless data compression which reduces 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 travel through the network.Possible extensions of this paper, use RUN LENGTH CODING to compress decompress the data in WSN.