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Multi-Objective Evolutionary Algorithm for Sensor Node Placement in Heterogeneous Wireless Sensor Network

Author(s):

Aditi Gupta , Seth Jai Parkash Mukand Lal Institute of Engineering and Technology, Radaur, Haryana, India; Gaurav Sharma, Seth Jai Parkash Mukand Lal Institute of Engineering and Technology, Radaur, Haryana, India

Keywords:

Heterogeneous Wireless Sensor Network, Sensor Node Placement, Coverage, Energy Consumption, Multi-Objective Evolutionary Algorithm

Abstract

Node placement in the target area is one of the most crucial issues in wireless sensor networks and their deployment should be cost-effective. The deployment cost depends upon the number of sensing devices deployed. Thus, optimum number of sensors should used while optimizing the various network preliminaries like energy consumption, network coverage and connectivity. In this paper, grid based coverage is considered with minimum energy consumption and proposes a novel deployment algorithm for heterogeneous wsn. This algorithm is based on multi-objective genetic algorithm for deterministic deployment of sensors. A simulation study is carried out to compare the performance of proposed algorithm with multi-objective territorial predator scent marking algorithm (MOTPSMA). Result shows that proposed algorithm outperforms the performance of MOTPSMA in terms of network coverage and energy consumption.

Other Details

Paper ID: IJSRDV3I40667
Published in: Volume : 3, Issue : 4
Publication Date: 01/07/2015
Page(s): 909-916

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