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Distributed heuristics for connected dominating sets in wireless ad hoc networks

机译:无线ad hoc网络中连接支配集的分布式启发法

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摘要

A connected dominating set (CDS) for a graph G(V, E) is a subset V' of V, such that each node in V — V' is adjacent to some node in V', and V' induces a connected subgraph. CDSs have been proposed as a virtual backbone for routing in wireless ad hoc networks. However, it is NP-hard to find a minimum connected dominating set (MCDS). An approximation algorithm for MCDS in general graphs has been proposed in the literature with performance guarantee of 3 + In Δ where Δ is the maximal nodal degree [1]. This algorithm has been implemented in distributed manner in wireless networks [2]–[4]. This distributed implementation suffers from high time and message complexity, and the performance ratio remains 3 + In Δ. Another distributed algorithm has been developed in [5], with performance ratio of Θ(n). Both algorithms require two-hop neighborhood knowledge and a message length of Ω (Δ). On the other hand, wireless ad hoc networks have a unique geometric nature, which can be modeled as a unit-disk graph (UDG), and thus admits heuristics with better performance guarantee. In this paper we propose two destributed heuristics with constant performance ratios. The time and message complexity for any of these algorithms is O(n), and O(n log n), respectively. Both of these algorithms require only single-hop neighborhood knowledge, and a message length of O (1).
机译:图G(V,E)的连接控制集(CDS)是V的子集V',因此V_V'中的每个节点都与V'中的某个节点相邻,并且V'诱发了连接子图。已经提出CDS作为无线ad hoc网络中路由的虚拟主干。但是,要找到最小连通支配集(MCDS)很难。文献中提出了一种通用图形中的MCDS近似算法,其性能保证为3 + InΔ,其中Δ为最大节点度[1]。该算法已在无线网络中以分布式方式实现[2] – [4]。该分布式实现遭受时间和消息复杂度高的困扰,并且性能比保持为3 + InΔ。文献[5]中开发了另一种分布式算法,其性能比为Θ(n)。两种算法都需要两跳邻居知识,并且消息长度为Ω(Δ)。另一方面,无线自组织网络具有独特的几何性质,可以将其建模为单位磁盘图(UDG),因此可以接受具有更好性能保证的启发式方法。在本文中,我们提出了两种具有恒定性能比的分布式启发式算法。这些算法中任何一个的时间和消息复杂度分别为O(n)和O(n log n)。这两种算法都只需要单跳邻居知识,并且消息长度为O(1)。

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