基于概率探测模型的传感器结点配置研究

无线传感器网络结点配置是传感器网络研究的核心问题之一,它反映出无线传感器网络的代价和探测能力.主要研究了基于一种更为实用化概率检测模型(引入x%-RS 的概念)的无线传感器网络覆盖优化配置问题.在严格确保无线传感器网络连通性的条件下,优化了传感器结点配置数目并达到要求的覆盖度,获得具体的传感器结点配置方案.为提高算法的效率,在分步优化算法的基础上尝试一次循环配置多个传感器结点.最后,通过模拟计算给出配置算法的性能.

Research on Sensor Deployment Based on Probabilistic Detection Model

Sensor deployment is a critical issue since it reflects the cost and detection capability of a wireless sensor network. A scheme is presented to solve the problem of optimum coverage based on a more practicable probabilistic detection model. We mainly discuss the coverage strategy on Grid probabilistic detection. The proposed approach optimizes the number of sensors and gains their placement location under the constraints of guaranteeing the connectivity in the distributed sensor field. In addition, we propose to deploy multiple sensor nodes at a time according to incremental deployment algorithm such that the efficiency can be enhanced. At the end experimental results are given to display the performance of the deployment algorithm.