Continuous Space Wireless Communication Tower Placement by Hybrid Simulated Annealing

Maolin Tang () and Wei Li
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Maolin Tang: School of Computer Science, Queensland University of Technology, Brisbane, QLD 4000, Australia
Wei Li: School of Engineering & Technology, Central Queensland University, Rockhampton, QLD 4702, Australia

Future Internet, 2024, vol. 16, issue 4, 1-16

Abstract: Wireless communication tower placement arises in many real-world applications. This paper investigates a new emerging wireless communication tower placement problem, namely, continuous space wireless communication tower placement. Unlike existing wireless communication tower placement problems, which are discrete computational problems, this new wireless communication tower placement problem is a continuous space computational problem. In this paper, we formulate the new wireless communication tower placement problem and propose a hybrid simulated annealing algorithm that can take advantage of the powerful exploration capacity of simulated annealing and the strong exploitation capacity of a local optimization procedure. We also demonstrate through experiments the effectiveness of this hybridization technique and the good performance and scalability of the hybrid simulated annulling in this paper.

Keywords: communication tower placement; optimization algorithm; simulated annealing; hybrid intelligent algorithm (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
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