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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Opportunity-Based Topology Control in Wireless Sensor Networks
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Opportunity-Based Topology Control in Wireless Sensor Networks

机译:无线传感器网络中基于机会的拓扑控制

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摘要

Topology control is an effective method to improve the energy efficiency of wireless sensor networks (WSNs). Traditional approaches are based on the assumption that a pair of nodes is either "connectedȁD; or "disconnected.ȁD; These approaches are called connectivity-based topology control. In real environments, however, there are many intermittently connected wireless links called lossy links. Taking a succeeded lossy link as an advantage, we are able to construct more energy-efficient topologies. Toward this end, we propose a novel opportunity-based topology control. We show that opportunity-based topology control is a problem of NP-hard. To address this problem in a practical way, we design a fully distributed algorithm called CONREAP based on reliability theory. We prove that CONREAP has a guaranteed performance. The worst running time is O(vert Evert ), where E is the link set of the original topology, and the space requirement for individual nodes is O(d), where d is the node degree. To evaluate the performance of CONREAP, we design and implement a prototype system consisting of 50 Berkeley Mica2 motes. We also conducted comprehensive simulations. Experimental results show that compared with the connectivity-based topology control algorithms, CONREAP can improve the energy efficiency of a network up to six times.
机译:拓扑控制是提高无线传感器网络(WSN)的能效的有效方法。传统方法基于这样的假设:一对节点要么是“ connected?D”,要么是“ disconnected.?D;”。这些方法称为基于连接的拓扑控制。但是,在实际环境中,有许多断续连接的无线链路,称为有损链路。以成功的有损链路为优势,我们能够构建更节能的拓扑。为此,我们提出了一种新颖的基于机会的拓扑控制。我们表明基于机会的拓扑控制是NP难题。为了切实解决这个问题,我们基于可靠性理论设计了一种称为CON​​REAP的完全分布式算法。我们证明CONREAP具有保证的性能。最差的运行时间是O(vert Evert),其中E是原始拓扑的链接集,单个节点的空间需求是O(d),其中d是节点度。为了评估CONREAP的性能,我们设计并实现了由50个Berkeley Mica2微粒组成的原型系统。我们还进行了全面的模拟。实验结果表明,与基于连接的拓扑控制算法相比,CONREAP可以将网络的能源效率提高多达六倍。

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