一种基于UAV的无人海岛监控网络数据收集策略

针对传统的最小跳路由无线传感器网络（WSN ）在数据汇聚上较高的能量开销问题,提出了一种基于无人机（UAV ）数据收集的动态分簇算法,其主要思想是利用节点剩余能量来确定那些节点可以当选簇首,同时利用节点坐标位置和设定地分簇半径来划分簇的大小.该算法的优势是能最大程度地均衡每个传感器节点的能量,使整体的节点剩余的能量维持在同一水平.为了提高数据收集的效率,采用蚁群算法规划了无人机数据收集的最短路径.仿真结果表明,与相同的分簇算法下传统的最小跳路由无线传感器网络相比,所提出的基于无人机的无线传感器网络（ UAV-WSN）在能量利用率和生命周期方面分别提升了 15%和25% ,并且以上两...

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Bibliographic Details
Published in	电讯技术 Vol. 58; no. 2; pp. 131 - 137
Main Author	王赛;郝建军;姚亚芬
Format	Journal Article
Language	Chinese
Published	山东科技大学电子通信与物理学院,山东青岛266590 2018 崇实大学电子工程学院,韩国首尔06978%山东科技大学电子通信与物理学院,山东青岛266590
Subjects	动态分簇算法数据收集无人机无人海岛监控网络无线传感器网络蚁群算法无人海岛监控网络数据收集 uninhabited island monitoring network 动态分簇算法蚁群算法 unmanned aerial vehicle(UAV) ant colony algorithm wireless sensor network(WSN) 无人机无线传感器网络 dynamic clustering algorithm
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ISSN	1001-893X
DOI	10.3969/j.issn.1001-893x.2018.02.003

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Summary:	针对传统的最小跳路由无线传感器网络（WSN ）在数据汇聚上较高的能量开销问题,提出了一种基于无人机（UAV ）数据收集的动态分簇算法,其主要思想是利用节点剩余能量来确定那些节点可以当选簇首,同时利用节点坐标位置和设定地分簇半径来划分簇的大小.该算法的优势是能最大程度地均衡每个传感器节点的能量,使整体的节点剩余的能量维持在同一水平.为了提高数据收集的效率,采用蚁群算法规划了无人机数据收集的最短路径.仿真结果表明,与相同的分簇算法下传统的最小跳路由无线传感器网络相比,所提出的基于无人机的无线传感器网络（ UAV-WSN）在能量利用率和生命周期方面分别提升了 15%和25% ,并且以上两种网络的能量利用率高达70%.
Bibliography:	Aiming at the problem of high energy overhead in data collection for the traditional minimum hop routing wireless sensor network（WSN）,a dynamic clustering algorithm based on unmanned aerial vehicle （UAV） that is employed to collect data is proposed. The main idea is to use the residual energy of nodes to determine which nodes can be elected cluster heads. Simultaneously,the cluster size is divided accord-ing to the node coordinates and the presetting cluster radius. The advantage of the algorithm is that the en-ergy of each sensor node can be balanced to the maximum extent,so that the remaining energy of the whole node is maintained at the same level. In order to improve the efficiency of data collection,ant colony algo-rithm is used to plan the shortest path of UAV. The simulation results show that compared with the tradi-tional shortest multi-hop route WSNs under the same clustering algorithm,the proposed WSN based on UAV（UAV-WSN） is improved by 15% and 2 5 % in energy utilization and lifetime respectively,
ISSN:	1001-893X
DOI:	10.3969/j.issn.1001-893x.2018.02.003