Relay Node Placement Under Budget Constraint

Chenyang Zhou, Anisha Mazumder, Arun Das, K. Basu, Navid Matin-Moghaddam, S. Mehrani, Arunabha Sen
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引用次数: 14

Abstract

The relay node placement problem in the wireless sensor network domain has been studied extensively over the past few years. The objective of most of these problems, is to place the fewest number of relay nodes in the deployment area so that the network, formed by the sensor and the relay nodes, is connected. Under the fixed budget scenario, the expense involved in procuring the minimum number of relay nodes to make the network connected, may exceed the budget. Although, in this case, one must give up the idea of having of a connected network but one would still like to design a network with a high level of connectedness, or a low level of disconnectedness. In this paper, we introduce the notion of disconnectivity, a measure of the "connectedness" of a disconnected graph. We study a family of problems whose goal is to design a network with "maximal connectedness" or "minimal disconnectedness", subject to a fixed budget constraint. We show that all problems in this family are NP-Complete and present an approximation algorithm with a performance bound of 1/10 for the problem that maximizes the size of the largest connected components, and inapproximability results for the problem that maximizes the size of the smallest connected component and the problem that minimizes the number of connected components. In addition, we present future direction of our research on this topic.
预算约束下中继节点放置
无线传感器网络中的中继节点放置问题在过去的几年里得到了广泛的研究。大多数这些问题的目标是在部署区域放置最少数量的中继节点,以便由传感器和中继节点组成的网络连接起来。在固定预算的情况下,采购最少数量的中继节点使网络连接所涉及的费用可能超过预算。虽然,在这种情况下,人们必须放弃拥有一个连接网络的想法,但人们仍然希望设计一个具有高水平连通性的网络,或者低水平的不连通性。在本文中,我们引入了不连通的概念,这是对一个不连通图的“连通性”的一个度量。我们研究了一类问题,其目标是在一个固定的预算约束下,设计一个具有“最大连通性”或“最小断开性”的网络。我们证明了这个家族中的所有问题都是np完全的,并提出了一个性能界为1/10的近似算法,用于最大化最大连接组件大小的问题,以及最大化最小连接组件大小和最小化连接组件数量的问题的不可逼近性结果。最后,对今后的研究方向进行了展望。
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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