Efficient Algorithms for Connected Dominating Sets in Ad Hoc Networks

Hossein Kassaei, Mona Mehrandish, L. Narayanan, J. Opatrny
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引用次数: 7

Abstract

A \emph {Connected Dominating Set} (CDS) can be used as a routing backbone in ad hoc networks and a data gathering/dissemination infrastructure in sensor networks. This virtual backbone can efficiently narrow down the search space for a route to the nodes in the CDS and thus be used by any routing protocol. Ideally, the backbone should constitute the smallest percentage of nodes in the network. However, finding a \emph{Minimum CDS} (MCDS) is an NP-hard problem. In this paper, we propose an efficient distributed algorithm to construct a CDS in general graphs. The time and message complexity of our algorithm is linear in the number of nodes and degree of the network. Extensive simulations on \emph{Unit Disk Graphs} (UDGs) show that this algorithm outperforms the distributed algorithms proposed in \cite{Butenko}, \cite{Zone-Based}, \cite{WAF}, and \cite{ECDS} in terms of the size of the CDS. We also present a local implementation of our algorithm in location-aware UDGs. Our algorithm provides the flexibility to arbitrarily adjust the trade-off between the degree of locality and the size of the generated CDS.
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Ad Hoc网络中连通支配集的高效算法
连接支配集\emph(CDS)可以作为自组织网络中的路由骨干和传感器网络中的数据收集/分发基础设施。这种虚拟主干可以有效地缩小到CDS中节点的路由的搜索空间,从而被任何路由协议使用。理想情况下,骨干网在网络中所占的节点比例应该最小。然而,寻找{}\emph{最小CDS} (MCDS)是一个np困难问题。本文提出了一种在一般图中构造CDS的高效分布式算法。该算法的时间复杂度和消息复杂度与网络节点数和网络程度呈线性关系。在\emph{单位磁盘图}(udg)上的大量模拟表明,该算法在cd大小方面优于\cite{Butenko}、\cite{Zone-Based}、\cite{WAF}和\cite{ECDS}中提出的分布式算法。我们还提出了我们的算法在位置感知udg中的本地实现。我们的算法提供了任意调整局域性程度和生成的CDS大小之间的权衡的灵活性。
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