一种能量感知的manet概率路由

Xiaomei Wang, Lin Li, Chongsen Ran
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引用次数: 24

摘要

为了提供便携性,移动自组织网络(manet)中的节点通常使用电池作为电源。因此,节点的寿命受到其电池剩余能量的限制。能源效率成为manet网络自运行和自管理过程中需要考虑的关键问题。为了使节点的生存期最大化,进而使网络的生存期最大化,节点的能量消耗不仅要最小化,而且要平衡。本文提出了一种新的简单高效的路由方法——能量感知概率路由(EAPR)。EAPR在动态源路由(DSR)路由发现过程中引入了概率模型,隐式均衡通信流量,进一步实现了manet各节点间的能量消耗均衡。我们分析了概率模型中的系数/spl alpha/,并通过仿真说明了其对EAPR的影响。仿真还表明,EAPR在网络中节点之间的平衡能耗分配方面优于DSR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An energy-aware probability routing in MANETs
To provide portability, nodes in mobile ad hoc networks (MANETs) usually use battery as power. Thus the lifetime of the node is limited by its residual battery energy. Energy efficiency becomes a key issue to be considered in the network self-operating and self-managing process for MANETs. In order to maximize the node lifetime and further to maximize the network lifetime, the energy consumption of the nodes has not only to be minimized but also to be balanced. This paper proposes a new simple and efficient routing, called energy-aware probability routing (EAPR). EAPR introduces a probability model in the DSR (dynamic source routing) route discovery procedure, implicitly balances the communication traffic and further achieves balanced energy consumption among all the nodes in MANETs. We analyze the coefficient /spl alpha/ in the probability model and illustrate its effect on EAPR through simulations. Also simulations illustrate that EAPR outperforms DSR in terms of the balanced energy consumption distribution among the nodes in the network.
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