Open Access2 Deployment of Sensors to Optimize the Network Coverage Using Genetic Algorithm
Author(s) -
Fozia Hanif Khan,
Rehan Shams,
M. Umair,
M. Waseem
Publication year - 2012
Publication title -
sir syed university research journal of engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2415-2048
pISSN - 1997-0641
DOI - 10.33317/ssurj.v1i1.67
Subject(s) - genetic algorithm , wireless sensor network , computer science , software deployment , matlab , wireless , algorithm , transmission (telecommunications) , field (mathematics) , real time computing , key distribution in wireless sensor networks , code (set theory) , wireless network , distributed computing , computer network , telecommunications , machine learning , mathematics , pure mathematics , operating system , set (abstract data type) , programming language
Wireless Sensor Networks (WSNs) are commonly used in various pervasive applications. Wireless communication is the fastest growing segment of the communication industry that has captured attention of the media and imagination of the public. The purpose of this study is to develop a Genetic algorithm that provides a proper deployment of sensors in order to optimize the coverage problem. The genetic algorithm optimizes the operational modes of sensors nodes for transmitting signals. In this paper we will present the optimum method for the mobile sensors nodes placement, so that transmission of signals and the field coverage can be improved. One of the critical issues of today’s world is to ensure that the quality of services requirement is at an acceptable level and genetic algorithm give the best solution for the above discussed problem. The algorithm has been implemented in MATLAB using its genetic algorithm tool box along with the custom code.