ASSURING K-COVERAGE IN VISUAL SENSOR NETWORKS IN THE PRESENCE OF ENERGY CONSTRAINTS BY PARTICLE SWARM OPTIMIZATION ALGORITHM
سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 290
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شناسه ملی سند علمی:
TECHSD04_069
تاریخ نمایه سازی: 31 تیر 1398
چکیده مقاله:
Visual Sensor Networks (VSNs) are special kind of Wireless Sensor Networks (WSNs) that monitors an environment by camera devices. WSNs are constrained by limited energy. On the other hand, unlike most sensors, cameras are directional in their field of view (FOV). If a target is out of the FOV of a camera, it needs to spend some energy and turn to the target to cover it. The problem of covering known location targets in an area with at least k sensors in the networks while keeping energy consumption minimum, is an NP-hard problem. In this paper we applied the particle swarm optimization (PSO) to overcome the problem. The proposed algorithm fulfills the two objectives. The first objective is the k-coverage satisfaction, and the second one is to minimize the sum of rotations of all sensors
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نویسندگان
Mohammad Amin Zare Soltani
Dehkhoda University faculty, Allameh Dehkhoda Higher Education Institute Qazvin,Iran