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Distributed Integer Balancing Under Weight Constraints in the Presence of Transmission Delays

机译:在存在传输延迟存在的重量约束下分布式整数平衡

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We consider the distributed weight balancing problem in networks of nodes that are interconnected via directed edges, each of which admits a positive integer weight. A digraph with positive integer weights on its edges is weight balanced if, for each node, the sum of the weights of the incoming edges equals the sum of the weights of the outgoing edges. In this article, we develop a distributed iterative algorithm, which solves the integer weight balancing problem in the presence of arbitrary (time-varying and inhomogeneous) time delays that might affect transmissions at particular links. We assume that each positive weight is constrained to lie within a certain interval, captured by individual lower and upper limits and that communication between neighboring nodes is bidirectional. We show that even when different transmissions on communication links are affected from bounded delays, the proposed distributed algorithm allows nodes to obtain a set of weights that solves the integer weight balancing problem, after a finite number of iterations, as long as a feasible solution exists. Finally, we provide examples to illustrate the operation and performance of the proposed algorithm.
机译:我们考虑通过定向边缘互连的节点网络中的分布式重量平衡问题,每个节点互连,每个都承认正整数重量。如果每个节点,输入边缘的权重的总和等于输出边缘的权重的总和,则在其边缘上具有正整数重量的数字是平衡的。在本文中,我们开发了一种分布式迭代算法,该算法在存在的任意(时变和不均匀)时间延迟存在下解决整数值平衡问题,这可能会影响特定链接的传输。我们假设每个正权重被约束,以便在特定的间隔内,由个体下限和上限捕获,并且相邻节点之间的通信是双向的。我们表明,即使在通信链路上的不同传输受界延迟的影响时,所提出的分布式算法也允许节点获取一组权重,在有限数量的迭代之后,可以在有限数量的迭代之后解决整数重量平衡问题,只要存在可行的解决方案。最后,我们提供了示例以说明所提出的算法的操作和性能。

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