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A Distributed Protocol for the Bounded-Hops Converge-Cast in Ad-Hoc Networks

机译:界限-HOP的分布式协议在ad-hoc网络中聚集在一起

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Given a set S of points (stations) located in the d-dim. Euclidean space and a root b ∈S, the h-hops Convergecast problem asks to find for a minimal energy-cost range assignment which allows to perform the converge-cast primitive (i.e. node accumulation) towards b in at most h hops. For this problem no polynomial time algorithm is known even for h = 2. The main goal of this work is the design of an efficient distributed heuristic (i.e. protocol) and the analysis (both theoretical and experimental) of its expected solution cost. In particular, we introduce an efficient parameterized randomized protocol for h-hops Convergecast and we analyze it on random instances created by placing n points uniformly at random in a d-cube of side length L. We prove that for h = 2, its expected approximation ratio is bounded by some constant factor. Finally, for h = 3,..., 8, we provide a wide experimental study showing that our protocol has very good performances when compared with previously introduced (centralized) heuristics.
机译:给定位于D-DIM中的点(站)的集合S.欧几里德空间和根B次,H-HOPS换核函数问题要求找到最小的能量成本范围分配,其允许在最多H跳中向B朝B朝向B朝B展开汇总 - 铸造基元(即节点累积)。对于这个问题,即使是H = 2,也不知道多项式时间算法。这项工作的主要目的是其有效分布启发式(即协议)和其预期解决方案成本的分析(理论和实验)的设计。特别地,我们为H-HOPE介绍了一个有效的参数化随机协议,用于H-HOPE CONFORGECAST,并在通过在侧面长度L的D-CUBE中随机均匀地将n个点均匀地均匀地进行随机实例进行分析。我们证明了H = 2,其预期近似率由一些恒定因子界定。最后,对于H = 3,......,8,我们提供了一个广泛的实验研究,表明,与先前引入(集中)启发式相比,我们的协议具有非常好的性能。

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