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Optimal trajectory determination of a single moving beacon for efficient localization in a mobile ad-hoc network

机译:在移动自组织网络中有效定位的单个移动信标的最佳轨迹确定

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摘要

An ad hoc network of small robots (sensor nodes) adjusting their positions to establish network connectivity would be able to provide a communication infrastructure in an urban battlefield environment. A sensor node would be capable of moving to a particular position to establish network connectivity, provided it knows its current position, positions of other sensor nodes and the radio propagation characteristics of the sensor area. In this paper, we present a pseudo formation control based trajectory algorithm to determine the optimal trajectory of a moving beacon used in localization of the sensor nodes in real-time. The trajectory and the frequency of transmission of the GPS based position information of the moving beacon influences the accuracy of localization and the power consumed by the beacon to localize. Localization accuracy/and reduction in the number of position information messages can be achieved, in real-time, by determining the optimal position from where the beacon should transmit its next position information. This will decrease the time required to localize, and power consumed by the beacon in comparison to random or predetermined trajectories. We first show that optimal position determination is a pseudo formation control problem. Next, we show the pseudo formation control problem formulated as an unconstrained optimization problem under the free space propagation model. We further present the modeling of the beacon incorporating the trajectory algorithm based on the pseudo formation control in a discrete event simulator. Simulation results, comparing the performance of localization with pseudo formation control based trajectory against random waypoint and predetermined trajectories for the beacon are presented. The simulation results show that the localization accuracy is significantly improved along with reduction in the number of position information messages transmitted when the beacon traverses along the pseudo formation control based trajectory.
机译:调整位置的小型机器人(传感器节点)的自组织网络将能够在城市战场环境中提供通信基础设施。如果传感器节点知道其当前位置,其他传感器节点的位置以及传感器区域的无线电传播特性,则它可以移动到特定位置以建立网络连接。在本文中,我们提出了一种基于伪编组控制的轨迹算法,以实时确定在传感器节点定位中使用的移动信标的最佳轨迹。基于GPS的移动信标的位置信息的轨迹和传输频率影响定位的准确性以及信标定位所消耗的功率。通过确定信标应从其发送其下一个位置信息的最佳位置,可以实时实现定位精度/位置信息消息数量的减少。与随机或预定轨迹相比,这将减少定位所需的时间以及信标消耗的功率。我们首先表明,最佳位置确定是伪编队控制问题。接下来,我们展示了在自由空间传播模型下拟定为无约束优化问题的伪编队控制问题。我们进一步提出了在离散事件模拟器中结合基于伪编队控制的轨迹算法的信标建模。给出了仿真结果,将定位性能与基于伪编队控制的轨迹相对于随机航路点和信标的预定轨迹进行了比较。仿真结果表明,当信标沿着基于伪编队控制的轨迹行进时,定位精度随发送的位置信息消息数量的减少而大大提高。

著录项

  • 来源
    《Ad hoc networks》 |2013年第1期|238-256|共19页
  • 作者单位

    Dept. of Electrical and Computer Engineering, University of Wyoming, United States;

    Dept. of Electrical and Computer Engineering, University of Wyoming, United States;

    Dept. of Electrical and Computer Engineering, University of Wyoming, United States;

    Dept. of Electrical and Computer Engineering, University of Wyoming, United States;

    Dept. of Electrical and Computer Engineering, University of Wyoming, United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    formation control; optimization; localization; trajectory;

    机译:编队控制;优化;本土化;弹道;

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