Abstract
WSN has been playing a significant role in various applications in recent days. The main issue in wireless sensor network, particularly for target coverage problem is to achieve maximum quality of coverage with limited sensors. To short out these issues, identify the optimal position for each sensor to satisfy the coverage requirement. This paper proposes a particle swarm optimization for Q-Coverage problem, where each target can be covered by one or more sensors. The main objective of the proposed algorithm is to optimize the position of sensors for satisfying Q-Coverage constraints. Simulation results show that the proposed algorithm achieves a good Q-coverage compared with random deployment of sensors.
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