基于图像处理技术的无线传感器网络覆盖与连通
The coverage and connectivity in wireless sensor networks based on image-processing
云南民族大学学报:自然科学版,2016,25(1):69-74

刘小雨 LXY

摘要


无线传感网中覆盖与连通问题对网络通信的性能有很大影响,并且连通与覆盖问题也是无线传感网研究的重点内容之一.首先采用图像灰度处理技术来计算节点对监测区域的覆盖率;然后采用洪泛路由协议判断网络是否连通并建立不同通信半径下,节点数与网络连通概率的关系;最后综合分析实验结果获得保证网络覆盖与连通的参数.与图像分割方法相比,采用图像灰度处理技术计算覆盖率,减少了计算量和对计算的要求,同时也提高了计算效率.通过理论分析与实验仿真,提出的方法可以实现网络的覆盖和连通. The problems concerning coverage and connectivity in wireless sensor networks have a significant impact on the performance of network communication, and are the research focus of wireless sensor networks. This research firstly uses gray-scale image-processing techniques to compute the coverage which the wireless sensor nodes can monitor. Then, it determines the networks’ connectivity by using the flood routing protocol, and establishes the relationship between the network connectivity probability and the number of nodes with different communication radiuses. Finally, it gives a comprehensive analysis of the experimental results, and obtains the parameters that ensure the networks’ coverage and connectivity. Compared with the technique of image segmentation, the gray-scale image processing techniques can efficiently reduce the load of computation and the requirement of the calculation, and improve its efficiency. Through some theoretical analysis and experimental simulation, this method can ensure the networks’ coverage and connectivity.

参考



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