An Energy Efficiency Routing Algorithm for Wireless Sensor Network

Aiming at the problem that the node energy is limited, the network cycle is short and the throughput is low in the wireless sensor network, Dynamic Routing Protocol Based on Clustering was proposed known as KACO (K-means and Ant Colony Optimal). At the beginning it employs ant colony optimal and k-means algorithm to form cluster, and the novel method which consider the energy ratio, node location and distance is used to select the cluster head. In the transmission phase, dynamic hybrid routing is adopted to create the shortest path between nodes that reducing the node energy consumption efficiency. The experimental results show that the KACO has optimal performance in terms of node energy consumption, number of transmitted packets, and life time of the network.