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A cone-based distributed topology-control algorithm for wireless multi-hop networks

机译:无线多跳网络中基于圆锥的分布式拓扑控制算法

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The topology of a wireless multi-hop network can be controlled by varying the transmission power at each node. In this paper, we give a detailed analysis of a cone-based distributed topology-control (CBTC) algorithm. This algorithm does not assume that nodes have GPS information available; rather it depends only on directional information. Roughly speaking, the basic idea of the algorithm is that a node u transmits with the minimum power p/sub u,/spl alpha// required to ensure that in every cone of degree /spl alpha/ around u, there is some node that u can reach with power p/sub u,/spl alpha//. We show that taking /spl alpha/=5/spl pi//6 is a necessary and sufficient condition to guarantee that network connectivity is preserved. More precisely, if there is a path from s to t when every node communicates at maximum power then, if /spl alpha//spl les/5/spl pi//6, there is still a path in the smallest symmetric graph G/sub /spl alpha// containing all edges (u,v) such that u can communicate with v using power p/sub u,/spl alpha//. On the other hand, if /spl alpha/>5/spl pi//6, connectivity is not necessarily preserved. We also propose a set of optimizations that further reduce power consumption and prove that they retain network connectivity. Dynamic reconfiguration in the presence of failures and mobility is also discussed. Simulation results are presented to demonstrate the effectiveness of the algorithm and the optimizations.
机译:可以通过更改每个节点的传输功率来控制无线多跳网络的拓扑。在本文中,我们对基于锥体的分布式拓扑控制(CBTC)算法进行了详细分析。该算法不假定节点具有可用的GPS信息。而是仅取决于方向性信息。粗略地说,该算法的基本思想是,节点u传输所需的最小功率p / sub u,/ spl alpha //,以确保在u周围的每个锥度/ spl alpha /中都存在一些节点您可以达到功率p / sub u,/ spl alpha //。我们表明,采用/ spl alpha / = 5 / spl pi // 6是保证保留网络连接的必要和充分条件。更准确地说,如果每个节点都以最大功率通信时,存在从s到t的路径,那么,如果/ spl alpha // spl les / 5 / spl pi // 6,则最小对称图G /中仍然存在路径sub / spl alpha //包含所有边(u,v),以便u可以使用幂p / sub u,/ spl alpha //与v通信。另一方面,如果/ spl alpha /> 5 / spl pi // 6,则不一定保留连接性。我们还提出了一系列优化措施,可以进一步降低功耗并证明它们保留了网络连接性。还讨论了存在故障和移动性时的动态重新配置。仿真结果表明了该算法和优化算法的有效性。

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