Energy Enhancement using Hybrid Topology Management Scheme in Wireless Sensor Networks

In Wireless Sensor Networks, mostly nodes are deployed in random fashion and it has to be ensured that a backbone network should be connected at any given point of time to maintain connectivity. The selection of these backbone nodes plays a vital role while deciding the topology as by carefully selecting backbone nodes, the forwarding energy consumption can be reduced. The topology control in wireless sensor networks is to maintain network connectivity, optimise network lifetime and to make it possible to design power efficient routing. This paper examines the performance of sparse topology and energy management scheme (STEM) when it is integrated with backbone energy efficient sleeping (BEES) scheme. Simulation results show that the hybrid scheme reduces the energy consumption by 57.2 percent compared to STEM scheme.