无线传感器网络覆盖问题中感知模型研究

在研究布尔模型传感器网络覆盖的基础上,对概率型以及各向异型传感器组成的传感器网络的网络覆盖问题进行了探讨,同时研究了感知半径以及算法适应度函数权重对于覆盖质量的影响.结果发现：对于3种不同的感知模型,在冗余覆盖且物理参数大致相同的情况下,布尔模型的优化效果最好;随着覆盖率函数的权重变大,进化出最优节点集的覆盖率也随之变大,而相应的节点利用率的权重则变小.

Perception Model in the Coverage Problem of Wireless Sensor Network

Based on the study of the sensor network coverage of the Boolean model,this paper discusses the network coverage problem of the sensor network composed of probability type sensors and anisotropic sensors,and it also studies the quality of coverage influenced by the perceived radius and the weight of algorithm＇s fitness function.The results shows that：for 3different sensing models,the optimization effect of the Boolean model is the best under the circumstance that the redundancy coverage and the physical parameters are roughly the same;with the increasing weight of the coverage function,the coverage rate of the optimal set of nodes from evolution becomes larger,while the corresponding node utilization weight becomes smaller.