Energy Aware Routing Techniques for MANET Using an Improved Swarm Intelligence Method to Maximize the Life Time of Networks

  • Dr. V. Sangeetha, Dr. S. Nivas

Abstract

            Mobile ad-hoc networks are the wireless network culture that communicates fully through multi-hop communication routes. The multi-hop networks MANET are compact or interactive. Performance of MANETs is measured by their capacity. Control of resources relies on routing nodes. Power conservation is paramount impotence and general energy saving techniques must be dealt with. Wireless communicates through newly interconnected home- or desktop networks with laptop, PDA, mobile phone and smart TV. MANET Protocols' energy efficiency is also a significant criterion. MANETs are categorised as higher wireless media, low latency and lower computer power error rates for each node. Resource protection is also a significant factor in the prototype nature of MANET. It is necessary to design a protocol that can find efficient routings between the mobile sink and nodes but does not consume too many network resources. In this paper, we propose a swarm intelligent algorithm based route maintaining protocol to resolve this issue. The protocol utilizes the concentric ring mechanism to guide the route researching direction and adopts the optimal routing selection to maintain the data delivery route in mobile sink. This research work innovates a modern and better MANET routing algorithm. The ISRA mixed a feature selection algorithm with Ant Colony. Here, ACO discovers the way and chooses the best route for selecting MANET features. Choose the proper fitness to assess the fitness of Ant. The routing tables contain highly sensor nodes and concentrate on the routing table route. The success of the plan suggests that transition comes more rapidly and compares it with existing work.

Published
2021-11-23
How to Cite
Dr. V. Sangeetha, Dr. S. Nivas. (2021). Energy Aware Routing Techniques for MANET Using an Improved Swarm Intelligence Method to Maximize the Life Time of Networks. Design Engineering, 15573-15581. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/6692
Section
Articles