Evaluating the performance of density grid-based clustering using ABC technique for efficient routing in WSNs

Wireless sensor networks WSNs are exceptional network comprise of network devices in large numbers and spatial circulation. They have different sensing capacity and participate to finish common task. It is seen in writing overview that density grid based clustering in WSN which has enhanced the execution of the WSNs by utilizing the gathering based information aggregation. In any case, no enhancement procedure is considered for the successful route selection in density grid-based clustering. This paper proposes a two new approaches i.e. artificial bee colony is an swarm based optimization technique for energy efficient routing algorithm and the compressive sensing is also used to increase the energy rate or performance. The proposed methodology has shown quite significant improvement over available ones.