Optimal Distribution of Nodes in Wireless Sensor Network Based on Multi-objective Optimization ⋆
نویسندگان
چکیده
This paper uses multi-objective evolutionary algorithms for wireless sensor node deployment which system model abstracted from the task-level modeling. And the multi-objective evolutionary algorithms have been improved for existing features in the design of wireless sensor node deployment. Individual coding is designed to avoid encoding and decoding of individual redundancy. And Pareto optimal concept combined with multi-objective optimization have been used in wireless sensor node deployment, in order to achieve balanced system parameters such as size, power consumption, and time. Comparison of simulation experimental results show that the algorithm runs multiple Pareto optimal solution can be obtained at a time, provides an effective tool as a trade-off between various objective functions, and improves design efficiency.
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