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A Distributed Approximation Algorithm for Strongly Connected Dominating-Absorbent Sets in Asymmetric Wireless Ad-Hoc Networks

机译:非对称无线Ad-Hoc网络中强连通支配吸收集的分布式近似算法

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Dominating set based virtual backbones are used for routing in wireless ad-hoc networks. Such backbones receive and transmit messages from/to every node in the network. Existing distributed algorithms only consider undirected graphs, which model symmetric networks with uniform transmission ranges. We are particularly interested in the well-established disk graphs, which model asymmetric networks with non-uniform transmission ranges. The corresponding graph theoretic problem seeks a strongly connected dominating-absorbent set of minimum cardinality in a digraph. A subset of nodes in a digraph is a strongly connected dominating-absorbent set if the subgraph induced by these nodes is strongly connected and each node in the graph is either in the set or has both an in-neighbor and an out-neighbor in it. We introduce the first distributed algorithm for this problem in disk graphs. The algorithm gives an O(k~4)-approximation ratio and has a runtime bound of O(Diam) where Diam is the diameter of the graph and k denotes the transmission ratio r_(max)/r_(min) with r_(max) and r_(min) being the maximum and minimum transmission range, respectively. Moreover, we apply our algorithm on the subgraph of disk graphs consisting of only bidirectional edges. Our algorithm gives an O(ln k)-approximation and a runtime bound of O(k~8 log~* n), which, for bounded k, is an optimal approximation for the problem, following Lenzen and Wattenhofer's Ω(log~* n) runtime lower bound for distributed constant approximation in disk graphs.
机译:基于支配集的虚拟主干用于无线自组织网络中的路由。这样的骨干网从/向网络中的每个节点接收消息并向其发送消息。现有的分布式算法仅考虑无向图,该无向图对具有均匀传输范围的对称网络进行建模。我们对建立良好的磁盘图特别感兴趣,该磁盘图可对传输范围不均匀的不对称网络进行建模。相应的图论问题寻求有向图的最小基数的强连通支配吸收集。如果由这些节点诱导的子图是牢固连接的,并且图中的每个节点都在该集合中,或者在其中既有近邻又有近邻,则有向图中的节点子集是一个强连通的支配吸收集。 。我们在磁盘图中介绍了针对该问题的第一种分布式算法。该算法给出O(k〜4)逼近比,并且运行时边界为O(Diam),其中Diam是图的直径,k表示传输比r_(max)/ r_(min),其中r_(max )和r_(min)分别是最大和最小传输范围。此外,我们将算法应用于仅包含双向边的磁盘图的子图。我们的算法给出了O(ln k)近似值和O(k〜8 log〜* n)的运行时边界,对于Lens和Wattenhofer的Ω(log〜* n)磁盘图中分布常数近似的运行时下限。

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