首页> 外文学位 >D-cluster formation and routing in mobile ad hoc networks.
【24h】

D-cluster formation and routing in mobile ad hoc networks.

机译:移动自组织网络中的D集群形成和路由。

获取原文
获取原文并翻译 | 示例

摘要

A mobile ad hoc network may be logically represented as a set of clusters. The clusterheads form a dominating set, and can be used to perform a variety of functions for nodes in their cluster like channels access, routing, etc. Previous heuristics restricted themselves to 1-hop clusters and were sequential in nature. This paper generalizes 1-hop clustering to a d-hop clustering problem. The value of d, a constant, is a parameter of the heuristic and governs the size of the clusters. First, we present a distributed and concurrent heuristic which allows all nodes to form d-clusters in a wireless mobile ad hoc network. When the heuristic terminates, a node either becomes a clusterhead, or is at most d wireless hops away from its clusterhead. An inherent characteristic of the heuristic is that it tries to generate clusters that are roughly the same size, thereby evenly distributing the load on the clusterheads (load-balancing). The heuristic also tends to re-elect existing clusterheads even when the network configuration changes (stability). This helps to reduce the communication overhead associated with transitions from old clusterheads to new clusterheads. The heuristic can be run either at regular intervals, or whenever the network configuration changes. Next, we propose a load-balancing heuristic that allows all nodes in the network to become clusterheads in time. Thus, the heuristic is fair and stable. Then we present a multi-hop routing protocol to be used with this clustering heuristic. Simulation experiments demonstrate that the proposed heuristic generates exactly the same number of clusterheads as [7], in fewer rounds of messages: O( d) rounds for the proposed heuristic compared to O( n) time slots for [7], where n is the number of nodes in the network.
机译:移动自组织网络可以在逻辑上表示为一组集群。簇头形成一个主导集,可用于为其簇中的节点执行各种功能,例如通道访问,路由等。以前的启发式方法将自身限制为1跳簇,并且本质上是顺序的。本文将1-hop聚类推广为 d -hop聚类问题。 d 的值(一个常数)是启发式参数,它控制着簇的大小。首先,我们提出一种分布式并发的启发式方法,它允许所有节点在无线移动自组织网络中形成 d -簇。当启发式方法终止时,节点要么成为簇头,要么最多离开其簇头 d 无线跳。启发式方法的固有特征是它尝试生成大小大致相同的集群,从而将负载平均分配到集群头上(负载均衡)。即使网络配置发生变化(稳定性),启发式方法也倾向于重新选择现有的簇头。这有助于减少与从旧群集头到新群​​集头的转换相关的通信开销。启发式算法可以定期运行,也可以在网络配置更改时运行。接下来,我们提出一种负载均衡的启发式方法,允许网络中的所有节点及时变为簇头。因此,启发式算法是公平且稳定的。然后,我们提出了一种与该聚类启发式算法一起使用的多跳路由协议。仿真实验表明,所提出的启发式算法在更少的消息回合中生成了与[7]完全相同的簇头数 O d )与[7]的 O n )时隙相比,建议的启发式算法回合,其中 n 是网络中的节点数。

著录项

  • 作者

    Amis, Alan DeWayne.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 136 p.
  • 总页数 136
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 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