Power efficient Memetic Optimized and Adjacent Exponentially Distributed Routing in Mobile Ad Hoc Networks

Abstract

Mobile Ad Hoc Networks (MANETs) are self-organizing, infrastructure less, possessing constrained power, linked through wireless links without any centralized controller. Optimal selection of routes with minimum end-to-end delay and maximum packet delivery ratio was ensured using learning-based routing protocol, however power factor was not analyzed and therefore increasing the routing overhead. This paper employs the Adjacent Exponentially Distributed Route Maintenance mechanism to include an energy awareness feature with mean data packet arrival rate and link breakage rate to the identified route discovery mechanism. The proposed technique considers routes distance and power during route selection and includes routes energy consumption in its calculations. Besides, route discovery as an optimization is formulated employing Adjacent Exponential Distribution to choose a route that optimizes weighted function of route distance and energy. The simulation results show that the Memetic Optimized Adjacent Exponentially Distributed Routing (MO-AEDR) improves the packet delivery ratio with minimum end-to-end delay and routing overhead.