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Improved Approximation Bounds for Maximum Lifetime Problems in Wireless Ad-Hoc Network

机译:无线Ad-Hoc网络中最大寿命问题的改进近似范围

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A wireless ad-hoc network consists of a number of wireless devices (nodes), that communicate with each other within the network using their built-in radio transceivers. The nodes are in general battery-powered, thus their lifetime is limited. Therefore, algorithms for maximizing the network lifetime are of great interest. In this paper we consider the Rooted Maximum Network Lifetime (RMNL) problems: given a network N and a node r, the objective is to find a maximum-size collection of routing trees rooted at the node r for a specified communication pattern. The number of such trees represents the total number of communication rounds executed before the first node in the network dies due to battery depletion. We consider two communication patterns, broadcast and con-vergecast. We follow the approach used by Nutov and Segal in [15], who developed polynomial time approximation algorithms with constant approximation ratios for the broadcast and convergecast RMNL problems. Our analysis of their algorithms leads to better approximation ratios than the ratios derived in [15]. In particular, we show a 1/7 approximation ratio for the multiple topology convergecast RMNL problem, improving the previous ratio of 1/31.
机译:无线自组织网络由许多无线设备(节点)组成,这些无线设备使用其内置的无线电收发器在网络内相互通信。节点通常由电池供电,因此它们的寿命受到限制。因此,最大化网络寿命的算法引起了极大的兴趣。在本文中,我们考虑了根源最大网络生存时间(RMNL)问题:给定一个网络N和一个节点r,目标是为指定的通信模式找到以节点r为根的路由树的最大大小集合。这些树的数量表示由于电池耗尽而在网络中的第一个节点死亡之前执行的通信回合的总数。我们考虑两种通信模式,广播和聚合广播。我们遵循Nutov和Segal在[15]中使用的方法,他们开发了具有恒定逼近比的多项式时间逼近算法,用于广播和会聚RMNL问题。我们对他们的算法的分析比[15]中得出的比率具有更好的近似比率。特别地,对于多重拓扑聚合广播RMNL问题,我们显示了1/7的近似比率,从而将以前的比率提高了1/31。

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