移动自组网分布式电源管理算法

N. Pradhan, T. Saadawi
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引用次数: 2

摘要

在本文中,我们提出了一种分布式电源管理算法,该算法可以在物理环境和网络拓扑变化的情况下自适应优化网络性能,减少干扰并保持网络连通性。物理环境建模采用对数距离路径损耗模型、对数正态阴影模型和瑞利衰落模型。干扰是多用户密集无线网络中的一个突出问题。该算法通过限制节点不加选择地增加其传输功率来协同减少网络中的节点间干扰。此外,大多数路由算法只利用双向链路。因此,单向链路可能是主要的干扰源。该算法将尝试阻止这种单向链路,或者在必要时将其转换为双向链路来路由数据包。因此,随着网络条件和物理环境的变化,该算法决定节点的最佳覆盖区域,以减少干扰,提供更好的链路质量,提高空间重用,减少重传次数,从而提高网络容量和能源效率,即电池容量。我们将证明该算法提供了更强的连接和更可靠的网络,提高了网络性能。它减少了节点连通性的波动,甚至显著减少了节点因网络和环境变化而完全脱离网络的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed power management algorithm for mobile ad hoc networks
In this paper, we propose a distributed power management algorithm that will adaptively optimize network performance, reduce interference and preserve network connectivity with changing physical environment and network topology. The physical environment is modeled with log-distance path loss model, log-normal shadowing model and rayleigh fading model. Interference is a prominent problem in multi-user dense wireless network. The proposed algorithm will co-operatively reduce inter-node interference in the network by restricting the node to increase its transmission power indiscriminately. Further, most of the routing algorithms only utilize bi-directional links. Therefore, uni-directional links can be a major source of interference. The algorithm will try to either prevent such uni-directional links or convert them into bi-directional links to route packet if necessary. Therefore with the changing network conditions and the physical environment, the proposed algorithm decides on an optimum coverage area for a node to reduce interference, provide better link qualities, improve spatial reuse, lower number of retransmissions thus improving network capacity and energy efficiency i.e. battery capacity. We will show that the algorithm provides stronger connected and more reliable network improving network performance. It reduces fluctuation in node connectivity even significantly reducing the time node is completely disconnected from the network due to changes in the network and the environment.
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