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Construction of minimum connected dominating set in wireless sensor networks using pseudo dominating set

机译:使用伪控制集构造无线传感器网络中的最小连接控制集

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In a wireless network, messages need to be sent on in an optimized way to preserve the energy of the network. A minimum connected dominating set (MCDS) offers an optimized way of sending messages. However, MCDS construction is a NP-Hard problem. In this paper, we propose a new degree-based greedy approximation algorithm named as Connected Pseudo Dominating Set Using 2 Hop Information (CPDS2HI), which reduces the CDS size as much as possible. Our method first constructs the CDS and then reduces its size further by excluding some of the CDS nodes cleverly without any loss in coverage or connectivity. The simulation results show that our method outperforms existing CDS construction algorithms in terms of both the CDS size and construction cost. CPDS2HI retains the current best performance ratio of (4.8 + In 5) vertical bar opt vertical bar + 1.2, vertical bar opt vertical bar being the size of an optimal CDS of the network, and has the best time complexity of O(D), where D is the network diameter. To the best of our knowledge this is the most time efficient and size-optimal CDS construction algorithm. It has a linear message complexity of O(n Delta), where n is the network size and Delta is the maximum degree of all the nodes. (C) 2016 Elsevier B.V. All rights reserved.
机译:在无线网络中,需要以优化的方式发送消息,以保留网络的能量。最小连接支配集(MCDS)提供了一种优化的消息发送方式。但是,MCDS的构造是NP-Hard问题。在本文中,我们提出了一种新的基于度的贪婪近似算法,称为使用2跳信息的连接伪控制集(CPDS2HI),它可以最大程度地减小CDS的大小。我们的方法首先构造CDS,然后通过巧妙地排除某些CDS节点而进一步减小其大小,而不会造成覆盖范围或连接性的损失。仿真结果表明,我们的方法在CDS尺寸和建造成本方面均优于现有的CDS构造算法。 CPDS2HI保留了(4.8 + In 5)垂直栏opt垂直栏+ 1.2的当前最佳性能比,垂直栏opt垂直栏是网络最佳CDS的大小,并且具有最佳的时间复杂度O(D),其中D是网络直径。据我们所知,这是最省时,尺寸最佳的CDS构建算法。它的线性消息复杂度为O(n Delta),其中n是网络大小,而Delta是所有节点的最大程度。 (C)2016 Elsevier B.V.保留所有权利。

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