Development of an Energy Efficient Data Fusion Technique for Homogenous Distributed Sensor Networks

Abstract

Wireless distributed sensor network has brought about increased accuracy in monitoring application which is the major purpose of WSNs. However, data redundancy and reliability are some issues posed by such network hence the introduction of data fusion technique increased the accuracy of data and reduce data redundancy and make it faults tolerant. While some of the technique focused on reducing data redundancy. Some focused on achieving fault tolerance in the network and some focused on both and most of the researchers did not consider integrating data fusion with energy conservation technique for increased network lifetime. In this work, an energy efficient data fusion technique is presented using Telosb xm1000. During cluster heads selection, we take nodes fused data and neighbour nodes fused data in sending the average fused data to the cluster head which serves as the intermediary between the nodes and the base station into consideration. In addition, we take advantage of node by dividing the nodes in two sect, sect A and sect B by each sect sampling at 5secs and sleeping for five minutes interval to improve the lifetime of the nodes by hundred percent instead of traditional method. In this scheme, sampling by half improves the efficiency of energy and prolong the lifetime in a distributed way. The experimental results indicate our scheme is better than some other scheme in aspects of energy consumption and the lifetime of the network.