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On approximate optimal dual power assignment for biconnectivity and edge-biconnectivity

机译:关于双连通性和边沿双连通性的近似最佳双功率分配

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摘要

Topology control is one of the major approaches to achieve energy efficiency as well as fault tolerance in wireless networks. In this paper, we study the dual power assignment problem for 2-edge connectivity and 2-vertex connectivity in the symmetric graphical model. The problem has arisen from the following practical origin. In a wireless ad hoc network where each node can switch its transmission power between high-level and low-level, how can we establish a fault-tolerant connected network topology in the most energy-efficient way? Specifically, the objective is to minimize the number of nodes assigned with high power and yet achieve 2-edge connectivity or 2-vertex connectivity. Note that to achieve a minimum number of high-power nodes is harder than an optimization problem in the same model whose objective is to minimize the total power cost. We first address these two optimization problems (2-edge connectivity and 2-vertex connectivity version) under the general graph model. Due to the NP-hardness, we propose an approximation algorithm, called prioritized edge selection algorithm, which achieves a 4-ratio approximation for 2-edge connectivity. After that, we modify the algorithm to solve the problem for 2-vertex connectivity and also achieve the same approximation ratio. We also show that the 4-ratio is tight for our algorithms in both cases.
机译:拓扑控制是实现能源效率以及无线网络中的容错能力的主要方法之一。在本文中,我们研究对称图形模型中2边缘连通性和2顶点连通性的双重功率分配问题。该问题源于以下实际来源。在无线自组织网络中,每个节点都可以在高级别和低级别之间切换其传输功率,我们如何以最节能的方式建立容错连接的网络拓扑?具体而言,目标是最大程度地减少分配高功率的节点数量,同时实现2边缘连接或2顶点连接。请注意,要达到最小数量的高功率节点要比同一模型中的优化问题更加困难,该模型的目标是使总功率成本最小化。我们首先在通用图模型下解决这两个优化问题(2-edge连接和2-vertex连接版本)。由于NP硬度,我们提出了一种近似算法,称为优先边缘选择算法,该算法实现了2边缘连通性的4比率近似。此后,我们修改算法以解决2顶点连通性的问题,并获得相同的近似比率。我们还表明,在两种情况下,我们的算法的4比率都是紧密的。

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