Multicast time maximization in energy constrained wireless networks

P. Floréen, P. Kaski, J. Kohonen, P. Orponen
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引用次数: 63

Abstract

We consider the problem of maximizing the lifetime of a given multicast connection in a wireless network of energy-constrained (e.g. battery-operated) nodes, by choosing ideal transmission power levels for the nodes relaying the connection. We distinguish between two basic operating modes: In a static assignment, the power levels of the nodes are set at the beginning and remain unchanged until the nodes are depleted of energy. In a dynamic assignment, the powers can be adjusted during operation.We show that lifetime-maximizing static power assignments can be found in polynomial time, whereas for dynamic assignments, a quantized-time version of the problem is NP-hard. We then study the approximability of the quantized dynamic case and conclude that no polynomial time approximation scheme (PTAS) exists for the problem unless Ptime = NP. Finally, by considering two approximation heuristics for the dynamic case, we show experimentally that the lifetime of a dynamically maintained multicast connection can be made several times longer than what can be achieved by the best possible static assignment.
能量受限无线网络中的组播时间最大化
我们考虑在能量受限(例如电池供电)节点的无线网络中,通过为中继连接的节点选择理想的传输功率水平来最大化给定多播连接的生存期的问题。我们区分了两种基本的工作模式:在静态分配中,节点的功率水平在开始时设置并保持不变,直到节点耗尽能量。在动态分配中,功率可以在运行过程中进行调整。我们证明了寿命最大化的静态功率分配可以在多项式时间内找到,而对于动态分配,问题的量化时间版本是np困难的。然后,我们研究了量化动态情况的近似性,并得出除非Ptime = NP,否则不存在多项式时间近似格式(PTAS)。最后,通过考虑动态情况下的两种近似启发式方法,我们通过实验证明,动态维护的多播连接的生存期可以比最佳静态分配所能实现的生存期长几倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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