Distributed communication in bare-bones wireless networks

Bogdan S. Chlebus, Shailesh Vaya
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引用次数: 12

Abstract

We consider wireless networks in which the effects of interference are determined by the SINR model. We address the question of structuring distributed communication when stations have very limited individual capabilities. In particular, nodes do not know their geographic coordinates, neighborhoods or even the size n of the network, nor can they sense collisions. Each node is equipped only with its unique name from a range {1, ..., N}. We study the following three settings and distributed algorithms for communication problems in each of them. In the uncoordinated-start case, when one node starts an execution and other nodes are awoken by receiving messages from already awoken nodes, we present a randomized broadcast algorithm which wakes up all the nodes in O(n log2 N) rounds with high probability. In the synchronized-start case, when all the nodes simultaneously start an execution, we give a randomized algorithm that computes a backbone of the network in O(Δ log7 N) rounds with high probability. Finally, in the partly-coordinated-start case, when a number of nodes start an execution together and other nodes are awoken by receiving messages from the already awoken nodes, we develop an algorithm that creates a backbone network in time O(n log2 N + Δ log7 N) with high probability.
裸机无线网络中的分布式通信
我们考虑的无线网络中,干扰的影响是由SINR模型决定的。我们解决了当站点的个体能力非常有限时构建分布式通信的问题。特别是,节点不知道它们的地理坐标,邻居,甚至网络的大小n,它们也不能感知碰撞。每个节点只从{1,…N}。我们研究了以下三种设置,以及每种设置中通信问题的分布式算法。在非协调启动情况下,当一个节点开始执行,其他节点通过接收已被唤醒节点的消息而被唤醒时,我们提出了一种随机广播算法,该算法在O(n log2 n)轮内以高概率唤醒所有节点。在同步启动情况下,当所有节点同时开始执行时,我们给出了一个随机算法,该算法以高概率在O(Δ log7 N)轮内计算出网络的主干。最后,在部分协调启动情况下,当多个节点一起启动执行,其他节点通过接收已被唤醒节点的消息而被唤醒时,我们开发了一种算法,该算法在时间O(n log2 n + Δ log7 n)内以高概率创建骨干网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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