Location-based Inner-Cluster Data Aggregation for Wireless Sensor Networks

Data aggregation is an important method to reduce energy consumption in wireless sensor networks. Cluster-based data aggregation usually consists of two phases, inner-cluster aggregation and fusion data transmission from aggregators to base station. Most of existing schemes are mainly focus on the efficiency of the second phase and all inner-cluster sensors will transmit their readings to the aggregator. Authors proposed a location-based inner-cluster data aggregation scheme to improving the efficiency of in-cluster aggregation. Agent nodes are selected with assist of nodes’ location and only the nodes have different readings with agent nodes transmit their data to cluster head, therefore, the data transmissions in the first phase are reduced effectively. Simulation shows that our scheme has fewer transmissions than that of related schemes and reduces the communication overhead effectively.