On the robustness of grid-based deployment in wireless sensor networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Robomote: enabling mobility in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Deploying Wireless Sensor Networks under Limited Mobility Constraints
IEEE Transactions on Mobile Computing
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Swarm based sensor deployment optimization in ad hoc sensor networks
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
Hybrid particle swarm optimisation based on history information sharing
Proceedings of the 13th annual conference on Genetic and evolutionary computation
PSO based wireless sensor networks coverage optimization on DEMs
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
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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.