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Multi constraints applied energy efficient routing technique based on ant colony optimization used for disaster resilient location detection in mobile ad-hoc network - 2021

Multi constraints applied energy efficient routing technique based on ant colony optimization used for disaster resilient location detection in mobile ad-hoc network

Research Area:  Mobile Ad Hoc Networks

Abstract:

A mobile ad-hoc network (MANET) is a group of advanced mobile devices which are capable of self-organization. Due to the diverse nature of mobile devices and wireless connectivity, MANET faces several issues like topology management, energy management due to battery power limits, data communication issues etc. The utilization rate of battery powered energy and QoS properties are significant in MANET. In order to address these issues, we propose a new ant colony inspired technique for energy efficient routing in MANET. The proposed technique is a multi-objective constraints applied energy efficient routing technique based on ant colony optimization in mobile adhoc networks (MCER-ACO). The proposed MCER-ACO technique selects the next hop node centered on the constraints, residual energy of mobile node, no of packets in path and dynamic movement of topology. By applying ant colony technique on objectives and constraints, probability of choosing next hop node as forwarding node is determined. From the performance evaluation carried out in this research work, it is proved that the proposed MCER-ACO approach is providing optimal energy efficient routing while comparing with few other existing methods.

Keywords:  

Author(s) Name:  A. Christy Jeba Malar, M. Kowsigan, N. Krishnamoorthy, S. Karthick, E. Prabhu & K. Venkatachalam

Journal name:  Journal of Ambient Intelligence and Humanized Computing

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s12652-020-01767-9

Volume Information:   volume 12, pages 4007–4017 (2021)