Topology Control of Wireless Sensor Networks Based on Layered Sleep Scheduling

Wireless sensor networks (WSNs) normally compose nodes with limited energy. Network with high-density nodes usually has overlap areas between nodes, causing data redundancy and unnecessary energy consumption. Apply random sleep (RS) scheduling into the network is a sufficient way to solve the problems and increase the lifetime. however, the RS can cause missing signal sensing in some areas in the network. In this paper, we proposed a new algorithm for reducing the miss sensing probability and maximize energy consumption. In the new algorithm, the network nodes are divided into classes and find the most suitable node as cluster head in the class, and separately control the nodes’ status. Simulation results prove that, with the new algorithm, the data redundancy of the network has been decreased, the energy of nodes has been reduced and the lifetime of the network has been prolonged.