Simple Median based information fusion in wireless sensor network

Abstract

The accuracy of a system is measured by the deviation of the system's results from the actual results. Information fusion deals with the combination of information from same source or different sources to obtain improved fused estimate with greater quality or greater relevance. As larger amount of sensors are deployed in harsher environment, it is important that sensor fusion techniques are robust and fault-tolerant, so that they can handle uncertainty and faulty sensor readouts. The sensor nodes in Wireless Sensor Network (WSN) are constrained with computation and communication resources, and efforts are required to increase the performance measures of the network. Thus sensor fusion techniques should be simple with less computation complexity. In this paper we propose a novel Median based sensor fusion function named D function. It is shown that the proposed D function satisfies the lipschitz condition. Paper also presents some of the ideas which can open new areas for research in fusion problem.