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Constrained Relay Node Placement in Wireless Sensor Networks: Formulation and Approximations

机译:无线传感器网络中受约束的中继节点放置:公式和近似

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One approach to prolong the lifetime of a wireless sensor network (WSN) is to deploy some relay nodes to communicate with the sensor nodes, other relay nodes, and the base stations. The relay node placement problem for wireless sensor networks is concerned with placing a minimum number of relay nodes into a wireless sensor network to meet certain connectivity or survivability requirements. Previous studies have concentrated on the unconstrained version of the problem in the sense that relay nodes can be placed anywhere. In practice, there may be some physical constraints on the placement of relay nodes. To address this issue, we study constrained versions of the relay node placement problem, where relay nodes can only be placed at a set of candidate locations. In the connected relay node placement problem, we want to place a minimum number of relay nodes to ensure that each sensor node is connected with a base station through a bidirectional path. In the survivable relay node placement problem, we want to place a minimum number of relay nodes to ensure that each sensor node is connected with two base stations (or the only base station in case there is only one base station) through two node-disjoint bidirectional paths. For each of the two problems, we discuss its computational complexity and present a framework of polynomial time $ {cal O}(1)$ -approximation algorithms with small approximation ratios. Extensive numerical results show that our approximation algorithms can produce solutions very close to optimal solutions.
机译:延长无线传感器网络(WSN)寿命的一种方法是部署一些中继节点,以与传感器节点,其他中继节点和基站进行通信。无线传感器网络的中继节点放置问题与将最小数量的中继节点放置到无线传感器网络中以满足特定的连接性或生存性要求有关。从中继节点可以放置在任何地方的意义上讲,以前的研究集中在问题的无限制版本上。实际上,中继节点的位置可能会有一些物理限制。为了解决此问题,我们研究了中继节点放置问题的受限版本,其中中继节点只能放置在一组候选位置。在连接的中继节点放置问题中,我们希望放置最少数量的中继节点,以确保每个传感器节点都通过双向路径与基站连接。在可生存的中继节点放置问题中,我们希望放置最少数量的中继节点,以确保每个传感器节点通过两个不相交的节点与两个基站(如果只有一个基站,则是唯一的基站)连接双向路径。对于这两个问题中的每一个,我们讨论其计算复杂度,并提出一种具有小的近似比率的多项式时间$ {cal O}(1)$-近似算法的框架。大量的数值结果表明,我们的近似算法可以产生非常接近最优解的解。

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