Bio-inspired Energy Aware Scheduling and Routing in Wireless Sensor Networks to Enhance the Network Lifetime

Abstract

The major issue in the design of any Wireless Sensor Network (WSN) is low power consumption that needs to be addressed at every layer of network to enhance the Lifetime. Research shows several Energy efficient protocols developed for Scheduling in MAC layer and Routing in Network layer independently with a traditional approach. This paper proposes a bio-inspired Energy efficient Scheduling & Routing algorithm by sharing the Energy data between MAC and Network layer with a cross-layer interaction. Swarm intelligence is a popular field where the collective behavior of insects and animals is used to address the design issues of WSN. The algorithm developed here incorporates the evolutionary behavior of Anuran species for Energy efficiency both in MAC and Network layer. NS2 is being used as the network simulator and the performance of the simulation results are compared with existing protocols to prove efficiency of the proposed evolutionary technique for Scheduling and Routing.