Routing and data aggregation in wireless sensor networks by using clusters

Abstract

Due to the non-unique node distribution energy consumption existsdifferenceon the basis of clusters networks for wireless sensors. Based on this problem, we propose an effective communication and routing data aggregation tree based on the previous clustering architecture. Using fuzzy logic technology, cluster heads are chosen based on residual capacity, node density and heads for load clusters. Via modifying inter-cluster energy consumption, the algorithm for the energy usage of cluster heads between cluster routing balancing. Using the data correlation model, data compression is then applied to minimise energy consumption.