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Minimizing interference in ad hoc and sensor networks

机译:最小化Ad Hoc和传感器网络的干扰

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Reducing interference is one of the main challenges in wireless communication, and particularly in ad hoc networks. The amount of interference experienced by a node v corresponds to the number of other nodes whose transmission range covers v. At the cost of communication links being dropped, interference can be reduced by decreasing the node's transmission power. In this paper, we study the problem of minimizing the average interference while still maintaining desired network properties, such as connectivity, point-to-point connections, or multicast trees. In particular, we present a greedy algorithm that computes an O(log n) approximation to the interference problem with connectivity requirement, where n is the number of nodes in the network. We then show the algorithm to be asymptotically optimal by proving a corresponding Ω(log n) lower bound that holds even in a more restricted interference model. Finally, we show how the algorithm can be generalized towards solving the interference problem for network properties that can be formulated as a 0-1 proper function.
机译:减少干扰是无线通信中的主要挑战之一,特别是在临时网络中。节点 v 经历的干扰量对应于传输范围覆盖 v 的其他节点的数量。在丢弃的通信链路成本下,通过降低节点的传输功率,可以减少干扰。在本文中,我们研究了最小化平均干扰的问题,同时仍然保持所需的网络属性,例如连接,点对点连接或组播树。特别地,我们介绍了一种贪婪算法,其使用连接要求计算到干扰问题的 o(log n),其中 n 是网络中的节点的数量。然后,我们通过证明相应的ω(log n)即使在更受限制的干扰模型中保持的相应的ω(log n),算法将渐近地最佳算法。最后,我们展示了算法如何广泛地求解可以将其标记为0-1适当功能的网络属性的干扰问题。

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