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Node Localization Algorithm based on Cellular Network Regional Division

机译:基于蜂窝网络区域划分的节点定位算法

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This paper puts forward the node localization algorithm based on cellular network regional division, i.e. below the range-free circumstance, network topologkal structure is built up, targeting unit cellular network and cluster cellular network; the deployment strategies of placing anchor nodes at the vertex and the center of each unit cellular are adopted, in order to divide the region according to the geometrical characteristic of the whole network; then match the estimated positions of the unknown nodes with the areas which meet the conditions, in accordance with the hop number relationship between nodes; thus localize the unknown nodes. The MATLAB 7.0 is adopted to conduct the algorithm simulation test and analyze the results. As is shown, with regard to unit cellular network and cluster cellular network, if under the condition of the same, density of anchor nodes, the positioning error reaches 20% in average. Also the positioning accuracy is stable. It is concluded that the algorithm is more suitable for large-scale wireless sensor network localization.
机译:提出了一种基于蜂窝网络区域划分的节点定位算法,即在无范围情况下,建立了以单元蜂窝网络和集群蜂窝网络为目标的网络拓扑结构。采用将锚节点放置在每个单元蜂窝的顶点和中心的部署策略,以便根据整个网络的几何特征来划分区域。然后根据节点之间的跳数关系,将未知节点的估计位置与满足条件的区域进行匹配;从而定位未知节点。采用MATLAB 7.0进行算法仿真测试并对结果进行分析。如图所示,对于单元蜂窝网络和集群蜂窝网络,如果在相同的条件下,锚节点的密度,则定位误差平均达到20%。定位精度也稳定。结论是该算法更适合大规模无线传感器网络定位。

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