Solving a multi-objective heterogeneous sensor network location problem with genetic algorithm
Abstract
In this paper, we consider a multi-purpose two-level location problem introduced by Karatas (2020) to improve the coverage performance of heterogeneous sensor networks. The problem basically seeks to determine the best location scheme of sensors of different types and characteristics in a belt-shaped boundary area with the purpose of providing a sufficient level of field, point and barrier coverage against different types of intruders. To solve...
Paper Details
Title
Solving a multi-objective heterogeneous sensor network location problem with genetic algorithm
Published Date
Jun 1, 2021
Journal
Volume
192
Pages
108041 - 108041
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