A Genetic-based Algorithm to Solve Priority-based Target Coverage Problem in Directional Sensor Networks
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 61
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شناسه ملی سند علمی:
JR_JADSC-4-1_011
تاریخ نمایه سازی: 15 مهر 1402
چکیده مقاله:
The Directional Sensor Networks (DSNs) have recently drawn considerable attention with respect to their extensive applications in various situations. In this regard, covering a set of targets in a specific region while maximizing network lifetime is considered as a major problem related to the DSN, which is resulted from limitation in sensing angle and battery power of directional sensors. The problem gets more challenging when the targets have different coverage quality requirements. In the present study, this problem is referred to as Priority-based Target Coverage (PTC) that has been proved to be an NP-complete problem. In this regard, a genetic-based algorithm along with a repair operator is developed, which is able to select a proper subset of directional sensors for providing the coverage quality requirements for all targets. In order to evaluate the performance of the proposed algorithm, several experiments were performed and the results were compared to those of another algorithms already introduced to literature.
کلیدواژه ها:
نویسندگان
Leila Ajam
Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran
Ali Nodehi
Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran
Hosein Mohamadi
Department of Computer Engineering, Azadshahr Branch, Islamic Azad University, Azadshahr, Iran
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