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无线传感器网络中传感器节点的部署位置对整个网络的性能(比如:覆盖率、通信成本和连通性等)有重要影响.此文针对由移动传感器节点组成的网络,提出一种基于协进化计算的方法来二次部署传感器,节点优化网络的性能,所提方法先将部署区域划分为小区域,传感器节点则根据其初始位置所在的小区域划分成不同的群落,每个群落在其直接邻居群落的参与下进化,获得群落内传感器的最佳部署位置.仿真实验表明,此方法在覆盖率、移动总距离和收敛性上都优于基于传感器个体的协进化二次部署算法.
The deployment location of sensor nodes in wireless sensor networks has an important impact on the performance of the whole network (such as coverage, communication cost and connectivity, etc.) This paper proposes a network based on the co-evolutionary computing Method to deploy sensors twice and optimize the performance of the network. The proposed method first divides the deployment area into small areas, and the sensor nodes are divided into different communities according to their small area where the initial location is located. Each community has its own immediate neighbor community , The optimal location of sensors in the community is obtained.The simulation results show that this method is superior to the sensor-based co-evolutionary redeployment algorithm in terms of coverage, total distance of movement and convergence.