采用基于指数衰减的概率感知模型来研究数据融合对覆盖性能的影响,提出节点的虚拟半径概念以量化表示数据融合对覆盖性能的改善效果,同时提出了融合覆盖和虚拟部署的概念.提出了一种基于正多边形方式的规则虚拟部署方案,分析了该部署方案对节点部署密度的影响.理论分析表明,虚拟半径内参与融合的传感节点的个数不能超过6,否则数据融合技术就不能减小传感节点的部署密度.同时也分析了节点在随机分布情况下的覆盖调度情况,提出了一种改进的基于虚拟半径的覆盖调度算法.实验表明,基于指数衰减感知模型的数据融合方案能有效地提高传感器网络的检测性能,另外基于正多边形方式的规则虚拟部署方案和节点随机分布时基于虚拟半径的调度算法能够有效地改善传感器网络的覆盖性能.%Based on probability sense model of the exponential decay law, this paper proposed the concept of virtual radius to quantize the improvement on network coverage performance caused by data fusion, while it proposed the concept of fusion coverage and virtual deployment as well. Then, proposed a regular virtual deployment scheme based on regular polygon and analysed the effect on deployment density of sensor nodes caused by this deployment scheme. The theoretical analysis indicates that the number of nodes which were participated in fusion process of virtual radius was no more than 6. Otherwise data fusion will not reduce the node density, on the contrary, it will have a negative effect on the node density. Meanwhile, coverage schedule of these nodes which were deployed in the random distribution has also been analyzed, and proposed an improved the coverage schedule algorithm based on virtual radius. Finally, it did some experiment simulations. By using the data fusion algorithm based on the exponential decay law, the experimental result indicates that data fusion algorithm can effectively improve the detection performance of sensor networks, in addition, the regular virtual deployment scheme based on regular polygon can effectively improve the coverage performance of sensor networks, as the schedule algorithm based on virtual radius do, which sensor nodes deploy in random way.
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