Adaptive Tracking Technique for Communication Cost Reduction in Wireless Sensor Network

摘要

Primary concern of Wireless Sensor Network(WSN) is energy efficiency. We need to increase the life span of the WSN. This work we uses the Unscented Kalman Filter (UKF) for reducing the communication energy cost of cluster based wireless sensor network. For transmission of data will require 1000 times more energy than computation. So for reducing this transmission UKF algorithm is used. The proposed UKF algorithm will run in the WSN and reduce the transmission of data. UKF algorithm run in the leaf node and head node to predict the value by computation, computation of the network will increase. But computation requires only less power than transmission. By using UKF technique, we can cut down the communication cost of cluster based wireless sensor network with a good data quality. Compare with the normal one to one communication we can save about 0.2Joule of energy, as we go for more number of transmission more amount energy can save. By using UKF technique we can achieve energy efficient system with increase in life span of the network.