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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Veröffentlicht in:	Applied soft computing Jg. 166; S. 112047
Hauptverfasser:	de Assis, Pedro A.Q., Rodrigues, Leonardo R., Galvão, Roberto K.H., Afonso, Rubens J.M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2024
Schlagworte:	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-Zugang:	Volltext
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