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Energy-aware backbone formation in military multilayer ad hoc networks

机译:军事多层自组织网络中的能源感知骨干网

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Ad hoc networks designed for deployment in modern battlefields need to take care of traditional requirements related to their backbone's size, their energy efficiency, their scalability in terms of network size, but also of their nature which allows for combining networks of different units that act altogether towards a common operational goal. This article develops a distributed algorithm for developing an energy aware backbone for military ad hoc network composed of multiple layers, namely E2CLB. The algorithm is based on the concepts of connected dominating sets and also on node centrality concepts, and results as a heuristic solution to the problem of calculating a maximum energy, minimum connected dominating set for a multilayer network by including into the dominating set those nodes which are highly connected to their and other layers (i.e., they have large centrality value) and moreover they are energy-rich. The computation and communication complexities of the algorithm are analyzed, and a thorough simulation based evaluation of it against six competitors is presented. The results show that E2CLB is either the best performing algorithm across the examined performance measures or it is able to trade a very small increase in the size of the backbone's network in order to reap improved performance in the energy realm. (C) 2018 Elsevier B.V. All rights reserved.
机译:专为在现代战场上部署而设计的Ad hoc网络需要照顾与传统需求有关的传统需求,这些需求涉及其骨干网的大小,能效,网络规模的可伸缩性,还需要考虑其性质,以便将完全起作用的不同单位的网络组合在一起达成共同的运营目标。本文开发了一种分布式算法,用于开发由多层(即E2CLB)组成的军事自组织网络的能量感知主干。该算法基于连接支配集的概念以及节点中心性概念,并且通过将那些节点包含在支配集中,从而启发了求解多层网络的最大能量,最小连接支配集的问题的启发式解决方案。与它们的和其他层紧密相连(即,它们具有较大的中心值),而且它们能量丰富。分析了算法的计算和通信复杂性,并针对六个竞争对手对算法进行了全面的基于仿真的评估。结果表明,E2CLB要么是在所检查的性能指标中性能最好的算法,要么能够在骨干网络的大小上实现很小的增长,以便在能源领域获得改进的性能。 (C)2018 Elsevier B.V.保留所有权利。

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