A Novel Optimal Angle Clustering Algorithm for Data Aggregation in Wireless Sensor Networks
Junmin Li, Zhengyi Li · 2013
A novel optimal angle clustering algorithm for efficient data aggregation in wireless sensor networks (OACA) is proposed and analyzed in this paper. The network is divided into several sectors with a certain angle to compute the optimal number of cluster head in the proposed algorithm. Cluster heads conduct data aggregation in cluster and relay cluster heads are responsible for forwarding data between clusters through a routing tree. Theoretical analysis and simulation show that the proposed OACA can improve the energy efficiency of the network as well as prolong the network lifetime, reduce the load for each node and reduce the number of the data packets. Through the simulation of different scenarios to verify the proposed protocol has a good scalability.