A variable weight based fuzzy data fusion algorithm for WSN
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
Time delay performance analysis of sensor allocation strategies on a WSN
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
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Energy consumption is critical and the processing ability and memory of sensor nodes are limited in wireless sensor networks. Mobile agent technology can decrease energy consumption and boost network performance. Inadequate deployment of mobile agents might lead to network failure due to constraint bandwidth. In this paper, a deployment strategy of mobile agents in wireless sensor networks, which integrates the creation sequence, priority and energy consumption of mobile agents, is proposed. Genetic algorithm is engaged to optimize the strategy. Then the energy consumption and time delay of mobile agent model are compared with client/server model. The simulation results indicate that the optimized deployment strategy of mobile agents can efficiently decrease the energy consumption and time delay in wireless sensor network, and improve the real-time ability. Thus, the network lifetime is prolonged and the real-time ability is boosted. Finally, the performance of optimized deployment strategy of mobile agents has been validated in quality inspection on manufacturing.