摘要
为及时感知、预警入侵高铁线路低矮路基、低矮桥墩等危及行车安全的行为和对在建高铁线路建材的偷盗行为,设计了基于遗传算法的节点覆盖集算法。首先,利用二元感知模型对目标监测区域进行建模,在充分考虑无线传感器网络节点通信的前提下,将节点交叉覆盖率和节点数量同时满足最小化的目标描述为一个最优化问题;然后,基于遗传算法运算流程对优化节点覆盖集进行了详细设计,并给出了局部搜索优化策略。仿真结果表明:所提算法具有良好的收敛性,当节点数目为54、感知半径为10m时节点覆盖率最大,解决了随机部署节点引发的网络冗余问题。
In order to ensure timely detection and early warning of the intrusion behavior to Low Subgrade and pier of high-speed railway line which could bring potential safety hazards to the high-speed railway operation and the behavior theft to building materials of high-speed railway line under construction,wireless sensor networks provides a feasible scheme.Therefore,a node coverage set algorithm based on genetic algorithm is designed.Firstly,the binary perception model is used to model the target monitoring area.On the premise of fully considering the nodes’ communication of wireless sensor networks,the goal of minimizing the number of nodes and the cross coverage of nodes is described as an optimization problem.And secondly,based on the operation flow of genetic algorithm,the optimal node coverage set is designed in detail and the local search optimization strategy was given as well.The simulation results show that the proposed algorithm has good convergence.When the number of nodes is 54 and the perception radius is 10m,the coverage of the network is the largest,which solves the network redundancy problem caused by random deployment of nodes.
作者
赵凌
ZHAO Ling(Rail Transit Security Department,Railway Police College,Zhengzhou 450053,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2019年第7期124-131,共8页
Journal of Chongqing University of Technology：Natural Science
基金
公安部技术研究计划项目“高速铁路线路重要部位物联网安防系统技术研究”(2016JSYJC61)
河南省重点研发与推广专项(科技攻关)项目“爆炸物/毒品室外日盲紫外拉曼光谱检测关键技术研究”(192102310515)
关键词
无线传感器网络
高铁线路
遗传算法
覆盖集优化
wireless sensor networks
high-speed railway lines
genetic algorithms
coverage set optimization
