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Document details - A Study of Load Balancing with Energy Conservation: A New Approach to Load Balancing With Energy Conservation Using Bayesian Optimization Algorithm in MANET

Journal Volume 7, Issue 2, March - April 2018, Article 8631960 R. Keerthana, Dr.R.Lakshmi , " A Study of Load Balancing with Energy Conservation: A New Approach to Load Balancing With Energy Conservation Using Bayesian Optimization Algorithm in MANET" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 7, Issue 2, March - April 2018 , pp. 045-053 , ISSN 2278 - 6856.

A Study of Load Balancing with Energy Conservation: A New Approach to Load Balancing With Energy Conservation Using Bayesian Optimization Algorithm in MANET

    R. Keerthana, Dr.R.Lakshmi

Abstract

Abstract: In Mobile Ad hoc Network, solving the load imbalance in routing with respect to energy conservation is an important issue which is likely to be addressed. Nowadays there are many load balancing techniques such as Energy-aware load balancing multipath routing protocol for MANET’S, Modified Energy Aware Load Balancing Multipath, and Energy efficiency and load balanced geographic routing has been used to solve this problem. In line with, this paper introduces a new technique which uses Bayesian Optimization Algorithm along with link aware on demand multipath load balancing and MAC based state transition for preserving node lifespan to optimize the load imbalance which results in minimum energy consumption in the network. This research work includes a various study on load balancing and identified the different issues like congestion control, end-to-end delay, energy consumption etc. Energy conservation is considered to be the most important factor because heavy loaded nodes can exhaust battery energy leads to degradation of a network. Initially, this proposed algorithm will be implemented and tested on a small set of nodes in a MANET using NS simulator and analyzes its performance. Keywords: Manet, Load Balancing, Bayesian Optimization Algorithm, Energy Consumption

  • ISSN: 22786856
  • Source Type: Journal
  • Original language: English

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