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引用次数: 2
摘要
研究了拓扑未知、无碰撞检测机制的经典多跳无线网络模型中的广播和leader选举两个基本通信原语。近20年来,人们已经知道,在具有n个节点和直径为D的无向网络中,随机广播需要Ω(D log n/D + log2 n)轮,假设不知情的节点不允许通信(直到它们被告知)。直到最近,Haeupler和Wajc (PODC'2016)才表明,对于具有自发传输的模型,可以改进该边界,提供O(D log n log n/log D + logO(1) n)时间广播算法。在本文中,我们给出了一种新的更快的算法,该算法在O(D log n/log D + logO(1) n)时间内完成广播,成功率高。当n是D中的多项式时,这产生了第一个最优的O(D)时间广播算法。此外,我们的方法可以应用于设计一个新的领导人选举算法,该算法与我们的广播算法的性能相匹配。在此之前,所有快速随机领导人选举算法都将广播作为子程序,其复杂度渐近严格大于广播复杂度。特别是,目前已知最快的Ghaffari和Haeupler (SODA’2013)随机领导人选举算法需要O(D log n/D min {log log n, log n/D} + logO(1) n)时间,成功率高。我们的新算法同样需要O(D log n/log D + logO(1) n)时间,同样有高概率成功。
Exploiting Spontaneous Transmissions for Broadcasting and Leader Election in Radio Networks
We study two fundamental communication primitives: broadcasting and leader election in the classical model of multi-hop radio networks with unknown topology and without collision detection mechanisms. It has been known for almost 20 years that in undirected networks with n nodes and diameter D, randomized broadcasting requires Ω(D log n/D + log2 n) rounds, assuming that uninformed nodes are not allowed to communicate (until they are informed). Only very recently, Haeupler and Wajc (PODC'2016) showed that this bound can be improved for the model with spontaneous transmissions, providing an O(D log n log log n/log D + logO(1) n)-time broadcasting algorithm. In this article, we give a new and faster algorithm that completes broadcasting in O(D log n/log D + logO(1) n) time, succeeding with high probability. This yields the first optimal O(D)-time broadcasting algorithm whenever n is polynomial in D. Furthermore, our approach can be applied to design a new leader election algorithm that matches the performance of our broadcasting algorithm. Previously, all fast randomized leader election algorithms have used broadcasting as a subroutine and their complexity has been asymptotically strictly larger than the complexity of broadcasting. In particular, the fastest previously known randomized leader election algorithm of Ghaffari and Haeupler (SODA'2013) requires O(D log n/D min {log log n, log n/D} + logO(1) n)-time, succeeding with high probability. Our new algorithm again requires O(D log n/log D + logO(1) n) time, also succeeding with high probability.