Approximation algorithm for minimum power partial multi-coverage in wireless sensor networks

Ran, Yingli; Huang, Xiaohui; Zhang, Zhao; Du, Ding‐Zhu

doi:10.1007/s10898-021-01033-y

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Comparison Of Simulation Results1

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2021

2023

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Cited by 17 publications

(1 citation statement)

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“…In order to verify the performance of the proposed method, the influence of the video sensor node parameters and the proposed algorithm parameters on the node coverage is studied, and the existing coverage enhancement algorithms PCMOD [7] , VFA-PSO [9] and Genetic Algorithm [10] , respectively, to evaluate the coverage performance of the video sensor networks through coverage.…”

Section: Comparison Of Simulation Resultsmentioning

confidence: 99%

Research on video sensor networks coverage optimization method in obstacle scene

Zhang

2023

J. Phys.: Conf. Ser.

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Aiming at the presence of obstacles when monitoring wild animals in the forest, an obstacle avoidance method is introduced, and a video sensor networks coverage optimization algorithm for virtual force affected by obstacles fused to an immune clone particle swarm is proposed. The algorithm adjusts locally through virtual forces to reduce the overlapping area and then uses the immune cloning particle swarm algorithm to optimize the global nodes to improve the coverage of nodes in the obstacle scene. The simulation results show that the algorithm proposed in this paper can improve the coverage of nodes.

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Section: Comparison Of Simulation Resultsmentioning

confidence: 99%