Abstract
Two key issues in mobile Wireless Sensors Network (WSN) are coverage and energy conservation. A high coverage rate ensures a high quality of service of the WSN. Energy conservation prolongs the network lifetime. These two issues are correlated, as coverage improvement in mobile WSN requires the sensors to move, which is one of the main factors of energy consumption. Therefore coverage optimization should take into consideration the available energy. Considering the sensors limited energy, this paper proposes a PSO based algorithm for maximizing the coverage subject to a constraint on the maximum distance any sensor can move. The simulation results show that the proposed algorithm achieves good coverage and significantly reduces the energy consumption for sensors repositioning.
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Aziz, N.A.A., Mohemmed, A.W., Zhang, M. (2010). Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2010. Lecture Notes in Computer Science, vol 6025. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12242-2_6
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DOI: https://doi.org/10.1007/978-3-642-12242-2_6
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