三维水下移动传感网多目标有向路径覆盖增强机制研究

发布时间：2018-06-07 09:54

本文选题：水下传感网 + 移动传感网　；参考：《传感技术学报》2014年01期

【摘要】：水下传感网中实现多个移动目标的协同追踪任是一个技术难题,针对这个问题论文提出了一种分布式的多目标有向路径覆盖增强算法。在实际的三维水下传感网中,水下传感器节点会随着水流运动而移动,被追踪的目标具有自主行动能力。假设移动规律遵从Meandering Current Mobility模型,多个运动目标沿着基于概率的Random Walk移动模型轨迹运动。在论文提出的算法中,覆盖运动路径的传感器节点通过两跳邻居节点范围内的水下传感器节点协同决策来实现最大化路径覆盖,通过调整水下传感器节点自身的有向覆盖方向达到多目标轨迹路径有向覆盖率平均值最大,并使多目标轨迹路径有向覆盖率标准方差尽量小。最后论文通过MATLAB软件仿真来验证分布式覆盖增强算法的有效性,能够显著提高多个移动目标的路径覆盖率。
[Abstract]:It is a technical problem to realize cooperative tracking of multiple moving targets in underwater sensor networks. A distributed directed path coverage enhancement algorithm is proposed in this paper. In an actual 3D underwater sensor network, underwater sensor nodes will move along with the flow of water, and the target being tracked has the ability to move autonomously. Assuming that the moving law obeys the Meandering Current Mobility model, multiple moving targets move along the trajectory of the probabilistic Random Walk moving model. In the algorithm proposed in this paper, the sensor nodes covering the moving path can maximize the path coverage through the cooperative decision of underwater sensor nodes in the range of two-hop neighbor nodes. By adjusting the directional coverage direction of the underwater sensor nodes, the average directional coverage of the multi-target trajectory path is maximum, and the standard variance of the directed coverage path of the multi-target trajectory path is minimized as far as possible. Finally, the MATLAB software simulation is used to verify the effectiveness of the distributed coverage enhancement algorithm, which can significantly improve the path coverage of multiple moving targets.
【作者单位】：浙江水利水电学院电气工程系;杭州电子科技大学电子信息学院;
【基金】：国家自然科学基金项目(61102067) 浙江省自然科学基金项目(LQ12F03006) 水声通信与海洋信息技术教育部重点实验室(厦门大学)开放课题项目浙江省重中之重学科“海洋机电装备技术”开放基金项目
【分类号】：TP212.9;TN929.3

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