Distributed estimation of LMS adaptive consensus filter for aggregation over sensor networks

This paper introduces adaptive consensus´s improvement on data aggregation algorithm in WSN. In this algorithm, each node uses the average of each related sensors as a reference signal for the adaptive filter, and modifies the weighted matrix of the consensus filter according to the algorithm of the LMS adaptive filter. The simulation results demonstrate that the proposed algorithm can make better performance in multi-hop consensus, accelerate the convergence of the nodes´ estimation.