A new learning automata-based algorithm to solve the target k-coverage problem in wireless sensor networks

Subject Areas : Electrical Engineering

leila ajam ¹ (Department of Computer,aliabad katoul Branch, Islamic Azad University,aliabad katoul, Iran.)
ali Nodehi ² (گروه کامپیوتر، واحد گرگان، دانشگاه آزاد اسلامی، گرگان، ایران)
Hosein Mohamadi ³ (Department of Computer Engineering, Azadshahr Branch, Islamic Azad University, Azadshahr, Iran)

Received: 2024-04-05 Accepted : 2024-07-06 Published : 2024-07-16

Keywords: Wireless sensor networks, Cover set formation, Learning automata, k-coverage,

Abstract :

Recently, a number of algorithms have been proposed to solve the target coverage problem in wireless sensor networks (WSNs). Conventionally, it is assumed that only a single sensor is sufficient for covering a target; though, in real situations, more than one sensor may be required for this purpose. This problem is known as k-coverage problem that its NP-completeness has been already proved. To solve the problem, this paper proposes a learning-automata based algorithm equipped with a pruning rule. The aim of the proposed algorithm is to determine minimum number of sensors in such a way that each target can be monitored for at least k times. The proposed algorithm performance was evaluated through conducting a number of experiments. The experimental results were compared to those of a greedy-based algorithm. As shown by the final results, the learning-automata based algorithm was more successful than the greedy-based one regarding the construction of cover sets with minimum number of sensors.

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