摘要
传统的传感器网络部署研究主要集中在二维平面和三维立体空间模型,对于复杂的空间曲面,不能取得较好的覆盖效果。因此,提出一种三维曲面移动节点传感器网络部署算法。首先利用Delaunay三角剖分算法选取传感器节点部署位置,其次以迭代的方式移动最合适的节点到每一个部署位置,最后以最少的节点完成对空间曲面的覆盖。仿真结果表明,与以往的曲面覆盖算法相比,本算法提高了网络整体覆盖率,减少了所部署的传感器数量,同时缩短了部署时间。
The traditional sensor network deployment research mainly focuses on two-dimensional planar and three-dimensional three-dimensional spatial models,which cannot achieve better coverage results for complex spatial surfaces.Therefore,a three-dimensional surface mobile node sensor network deployment algorithm is proposed.Firstly,the Delaunay triangulation algorithm is used to select the sensor node deployment locations,secondly,the most suitable nodes are moved to each deployment location in an iterative manner,and finally the coverage of the spatial surface is completed with the least number of nodes.The simulation results show that this algorithm improves the overall network coverage,reduces the number of deployed sensors,and shortens the deployment time compared with previous surface coverage algorithms.
作者
蔡文鹏
曹舒悦
CAI Wenpeng;CAO Shuyue(Affiliated Nantong Hospital of Shanghai University(The Sixth People’s Hospital of Nantong),Nantong Jiangsu 226000,China;Nantong Institute of Measurement and Testing,Nantong Jiangsu 226000,China)
出处
《信息与电脑》
2022年第23期91-94,共4页
Information & Computer
关键词
无线传感器网络
空间曲面
移动节点
网络部署
wireless sensor network
space surface
mobile node
network deployment
作者简介
蔡文鹏(1993-),男,河南信阳人,硕士研究生。研究方向:无线传感器网络。
