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The Wireless Sensor Networks Base Layout and Density Optimization Oriented towards Traffic Information Collection

机译:面向交通信息收集的无线传感器网络基础布局和密度优化

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摘要

Wireless sensor networks (WSN) are applied in Intelligent Transport System for data collection. For the low redundancy rate of the wireless sensor networks nodes of traffic information collection, the senor nodes should be deployed reasonably for the WSN nodes to work effectively, and, thus, the base network structure and the density optimization of the sensor network are one of the main problems of WSN application. This paper establishes the wireless sensor networks design optimization model oriented to the traffic information collection, solving the design optimization model with the chemical reaction optimization (CRO) algorithm. The experimental results show that CRO algorithm outperforms the traditional particle swarm optimization (PSO) in solving the wireless sensor network design optimization oriented to the traffic information collection, capable of optimizing the wireless sensor network deployment of traffic information collection to contribute to the great improvement of the comprehensive value of the network performance. The reasonable design of the wireless sensor network nodes has great significance for the information collection, post-maintenance-and-extension, and cost saving of a monitoring system.
机译:无线传感器网络(WSN)用于智能传输系统中的数据收集。由于交通信息采集无线传感器网络节点的冗余率较低,应合理部署传感器节点以使WSN节点有效工作,因此传感器网络的基础网络结构和密度优化是其中之一。 WSN应用的主要问题。建立了面向交通信息采集的无线传感器网络设计优化模型,并利用化学反应优化(CRO)算法对设计优化模型进行求解。实验结果表明,CRO算法在解决面向交通信息采集的无线传感器网络设计优化方面,优于传统的粒子群优化算法,能够优化交通信息采集的无线传感器网络部署,为提高交通信息采集水平做出了贡献。网络性能的综合价值。无线传感器网络节点的合理设计对于监控系统的信息收集,后期维护和扩展以及节省成本具有重要意义。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第7期|214905.1-214905.8|共8页
  • 作者单位

    Inst Higher Educ Sichuan Prov, Key Lab Pattern Recognit & Intelligent Informat P, Chengdu 610106, Peoples R China.;

    Chengdu Univ, Coll Informat Sci & Technol, Chengdu 610106, Peoples R China.;

    Chengdu Univ, Coll Informat Sci & Technol, Chengdu 610106, Peoples R China.;

    Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China.;

    Unocal East China Sea Co Ltd, Chengdu 610012, Peoples R China.;

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