Evolutionary Computation Guided Energy Efficient Key Organization in Wireless Communication (ECEEKO)

Abstract

In this paper an Evolutionary Computation based energy efficient novel key organization (ECEEKO) policy has been proposed by incorporating computational safety, power management and restricted usage of memory in wireless communication. Generating functions of secured key are generated from the sink node through evolutionary computation and distribute to the header and sensor nodes. On agreeable particular power consumption constraints each potential key generating function (KGF) is encoded as a chromosome. Using entropy measure fitness is calculated to assess key distribution. Common keys are assembling by headers and sensor nodes. Performance analysis of the ECEEKO approach and comparison study with several existing methods has been done.