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Efficient broadcasting in multi-hop wireless networks with a realistic physical layer

机译:具有实际物理层的多跳无线网络中的高效广播

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Almost all existing broadcasting algorithms assume an ideal physical layer, in which a successful transmission is guaranteed if the distance between communicating nodes is less than a certain threshold, e.g., a transmission range. However, wireless communication links normally suffer from the characteristics of realistic physical layer, which significantly reduce the reliability of broadcasting among the nodes. This work addresses the minimal broadcasting problem in multi-hop wireless networks with a realistic physical layer. Given a probability p*, the problem is to design a distributed broadcasting algorithm such that each node in the network receives the broadcasting packet with probability no less than p* and the number of retransmissions is minimized. We show that this problem is NP-hard and propose a distributed greedy algorithm which maximizes the gain cost ratio at each node. We prove that the proposed algorithm guarantees that each node receives the broadcasting packet with probability no less than p*, and analyze upper bound on the number of total retransmissions in the network. Simulation results show that our algorithm can provide near 100% coverage to the wireless network with a realistic physical layer, and reduce the number of retransmissions compared with modified traditional flooding schemes k-Flooding (pure flooding with multiple times) and ACK-Flooding (pure flooding with acknowledgement). We believe our algorithmic solution is efficient and practical for general existing multi-hop wireless networks.
机译:几乎所有现有的广播算法都采用理想的物理层,如果通信节点之间的距离小于某个阈值(例如传输范围),则可以保证成功的传输。然而,无线通信链路通常具有现实的物理层的特性,这大大降低了节点之间广播的可靠性。这项工作解决了具有实际物理层的多跳无线网络中的最小广播问题。在给定概率p *的情况下,问题在于设计一种分布式广播算法,以使网络中的每个节点以不小于p *的概率接收广播数据包,并使重传次数最小化。我们证明这个问题是NP难的,并提出了一种分布式贪心算法,该算法使每个节点的增益成本比最大化。我们证明了所提出的算法保证了每个节点以不小于p *的概率接收到广播数据包,并分析了网络中总重传次数的上限。仿真结果表明,与改进的传统泛洪方案k-Flooding(多次纯泛洪)和ACK-Flooding(纯泛洪)相比,我们的算法可以为无线网络提供接近真实的物理层的100%覆盖,并减少重传次数。充满确认)。我们相信我们的算法解决方案对于通用的现有多跳无线网络是高效且实用的。

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