A top-down positioning scheme for underwater wireless sensor networks
A top-down positioning scheme for underwater wireless sensor networks
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DOI：
10.1007/s11432-013-4797-6
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发表时间：
2013-06
期刊：
影响因子：
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通讯作者：
Senlin Zhang;Qiang Zhang;Meiqin Liu;Zhen Fan
中科院分区：
文献类型：
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作者：
Senlin Zhang;Qiang Zhang;Meiqin Liu;Zhen Fan
在水声传感器网络中，由于锚节点分布不均匀，通信能力不强，网络结构不合理，为了在保证定位误差较小的前提下提高定位覆盖率，提出了一种自顶向下的水声传感器网络定位方案（TPS）。TPS通过合理定义节点的置信度，保证了新参考节点的质量。TPS还通过梯度法对刚刚定位的节点进行细化，并通过新的三维欧氏距离估计方案帮助未定位的节点搜索更多的参考节点。通过比较新方案与现有方案的三维欧几里德距离估计，新方案具有更大的能力，估计两跳欧几里德距离在三维空间。仿真结果表明，结合节点置信度定义的TPS、梯度法和新的三维欧氏距离估计方案，在保持较小定位误差的同时，提高了定位覆盖率。
In order to increase the localization coverage while keeping the localization error small in a unique network architecture in which there are not evenly distributed anchor nodes with great ability of communication or additional infrastructure, a Top-down Positioning Scheme (TPS) for underwater acoustic sensor networks is proposed. By defining node’s confidence reasonably, TPS insures the quality of the new reference nodes. TPS also refines the nodes which have just been positioned via the gradient method and helps non-localized nodes search for more reference nodes via the new scheme for 3D Euclidean distance estimation. By comparing the new scheme for 3D Euclidean distance estimation with the existing scheme, the new scheme is shown to have greater ability to estimate two-hop Euclidean distance in 3D space. Simulation results show that TPS which integrates node’s confidence defined reasonably, the gradient method, and the new scheme for 3D Euclidean distance estimation can increase the localization coverage ratio, while keeping the localization error small.