A genetic algorithm method for improving suboptimal sensor arrangements in coverage and connectivity problems

This paper is concerned with the solution of a Coverage and Connectivity Problem (CCP). The proposed method performs the placement of sensors forming a connected Wireless Sensor Network (WSN) to fully cover a Field of Interest (FoI). Full coverage is attained despite the presence of opaque obstacles...

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Bibliographic Details

Published in:	Applied soft computing Vol. 166; p. 112047
Main Authors:	de Assis, Pedro A.Q., Rodrigues, Leonardo R., Galvão, Roberto K.H., Afonso, Rubens J.M.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2024
Subjects:	Computational geometry Coverage and connectivity problem (CCP) Genetic algorithm (GA) Integer Linear Programming (ILP) Wireless Sensor Network (WSN) Wireless Sensor Network (WSN) Computational geometry Genetic algorithm (GA) Coverage and connectivity problem (CCP) Integer Linear Programming (ILP)
ISSN:	1568-4946
Online Access:	Get full text
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