【24h】

Distributed Construction of Connected Dominating Sets Optimized by Minimum-Weight Spanning Tree in Wireless Ad-Hoc Sensor Networks

机译:无线Ad-Hoc传感器网络中最小权重生成树优化的连接控制集的分布式构造

获取原文
获取原文并翻译 | 示例

摘要

A Connected Dominating Set (CDS) is a subset V' of V for the graph G(V,E) and induces a connected subgraph, such that each node in V -V' is at least adjacent to one node in V'. CDSs have been proposed to formulate virtual backbones in wireless ad-hoc sensor networks to design routing protocols for alleviating the serious broadcast storms problem. It is not easy to construct the Minimum Connected Dominating Set (MCDS) due to the NP-hard nature of the problem. In this paper, our algorithm first finds a prior CDS and then uses the Minimum-Weight Spanning Tree (MST) to optimize the result. Our algorithm applies effective degree, the new term introduced in our algorithm, combining with ID to determine dominators. Default event is triggered to recalculate and update the node's effective degree after a predetermined amount of time. By 3-hop message relay, each node can learn the paths leading to the other dominators within 3-hop distance and thus some paths picked up by some rules can convert into the new weight edge by calculating the number of nodes over these paths. An MST will be found from the new weight graph induced by the prior CDS to further reduce CDS size. Our algorithm performs well in terms of CDS size and Average Hop Distance (AHD) by comparing with the existing algorithms. The simulation result also shows that our algorithm is more energy efficient than others.
机译:连通支配集(CDS)是图G(V,E)的V的子集V',并得出连通的子图,从而V-V'中的每个节点至少与V'中的一个节点相邻。已经提出CDS来在无线自组织传感器网络中形成虚拟主干,以设计用于减轻严重的广播风暴问题的路由协议。由于问题的NP难性,构造最小连通支配集(MCDS)不容易。在本文中,我们的算法首先找到先验的CDS,然后使用最小权重生成树(MST)来优化结果。我们的算法应用了有效度,即我们算法中引入的新术语,结合ID来确定支配者。在预定的时间量后,将触发默认事件以重新计算并更新节点的有效程度。通过3跳消息中继,每个节点都可以了解3跳距离内通向其他支配者的路径,因此,通过计算这些路径上的节点数,某些规则选择的某些路径可以转换为新的权重边。从先前的CDS引起的新的权重图中可以找到MST,以进一步减小CDS的大小。通过与现有算法进行比较,我们的算法在CDS大小和平均跳距(AHD)方面表现良好。仿真结果还表明,我们的算法比其他算法具有更高的能源效率。

著录项

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