Title: Energy and mobility aware route optimisation technique based on genetic algorithm in MANETs

Authors: Ganapathy Mathiyalagan; Amitabh Wahi

Addresses: Department of IMS, Sri Venkateswara College of Engineering, Sriperumbudur, Tamilnadu, India ' Department of IT, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India

Abstract: Due to the fact that in mobile ad hoc networks (MANETs), nodes being highly mobile and operate on battery capacity, battery consumption and mobility of the nodes pose as major issues. To resolve this issue, the energy consumed by each node should be distributed equally thereby minimising the overall transmission power. In order to achieve this, an energy and mobility aware route optimisation technique based on genetic algorithm has been proposed in this paper. In this approach, the network estimates the estimated geometrical distance (EGD) metric. Here, the weak links are excluded from the network. Then, an estimation of min-max battery capacity and node connectivity index is done. Genetic algorithm is applied for selecting the routes with a best fitness function based on these metrics. Based on the simulation results, we gather that the proposed technique reduces delay and overhead along with the increased packet delivery ratio and residual energy.

Keywords: mobile ad hoc network; MANET; estimated geometrical distance; EGD; min-max battery capacity routing; MMBCR; node connectivity index; NCI; genetic algorithm; fitness function.

DOI: 10.1504/IJMNDI.2017.085741

International Journal of Mobile Network Design and Innovation, 2017 Vol.7 No.2, pp.69 - 77

Received: 19 Oct 2015
Accepted: 22 Apr 2016
Published online: 11 Aug 2017 *

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