Data gathering cluster-based approach for in-network aggregation
R. Vinodha, S. Durairaj · 2016
The large and wide usage of automation of communication systems evolved into the large scale, dense wireless sensor network utilization, for simple modernization of networks. Since the density of nodes is large, it is obvious that there are high possibilities of data redundancy between neighboring nodes. This may further deploy energy and our concern to increase energy conservation. To conserve energy, datas are fused at source nodes and aggregated at branch nodes. We concentrate at reducing energy by data fusion and data aggregation at intermediate nodes, thereby reducing the cost and energy consumption. We suggest a Routing methodology for In-Network Aggregation, which has some vital aspects such as reduced number of messages for setting up a routing tree, multiple routes, and high aggregation rate. The results indicate clearly that the performance studied in terms of Packet Data Rate, Scalability and Throughput. The results would show good performance index in different aspects required by WSNs.