首页> 外文学位 >Ant Colony Optimization for Jointly Solving Relay Node Placement and Trajectory Calculation in Hierarchical Wireless Sensor Networks.
【24h】

Ant Colony Optimization for Jointly Solving Relay Node Placement and Trajectory Calculation in Hierarchical Wireless Sensor Networks.

机译:蚁群优化,用于联合解决分层无线传感器网络中的中继节点放置和轨迹计算。

获取原文
获取原文并翻译 | 示例

摘要

Given the locations of the Sensor Nodes in a Wireless Sensor Networks (WSN), finding the minimum number of Relays required and their locations such that each sensor is covered by at least one relay is called the Relay Node Placement (RNP) problem. Given the locations of the relays, finding an optimized trajectory for the Mobile Data Collector (MDC) is another important design problem of the WSN domain. Previous researchers have shown that jointly solving different design problems in the WSN domain often leads to better overall results. In recent years, Ant Colony Optimization (ACO) have emerged as an effective tool for solving complex optimization problems. An ACO based approach for solving the joint problem of Relay Node Placement & Trajectory calculation(RNPT) is presented in this thesis. We also present a deterministic, and a Continuous Ant Colony Optimization ( ACOR ) approach for refining the trajectory produced by the ACO approach.
机译:给定无线传感器网络(WSN)中传感器节点的位置,找到所需的最小中继数量及其位置,以使每个传感器至少被一个中继覆盖,这称为中继节点放置(RNP)问题。给定中继器的位置,找到移动数据收集器(MDC)的优化轨迹是WSN域的另一个重要设计问题。先前的研究人员表明,共同解决WSN领域中的不同设计问题通常会带来更好的总体结果。近年来,蚁群优化(ACO)已经成为解决复杂优化问题的有效工具。本文提出了一种基于ACO的解决中继节点布局与轨迹计算联合问题的方法。我们还提出了确定性和连续蚁群优化(ACOR)方法,以完善ACO方法产生的轨迹。

著录项

  • 作者

    Kamal, K. Raiyan.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Computer Science.
  • 学位 M.Sc.
  • 年度 2014
  • 页码 136 p.
  • 总页数 136
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号