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引用次数: 10
摘要
可靠的水下无线通信是实现蜂群技术的前提。本文讨论了一种适用于动态多跳无线网络的时分多址(TDMA)算法,该算法具有快速的全对全信息交换(Omnicast)、密集的本地调度和可预测的时延等特点。该算法基于作者在[Schill F., et al., 2006]中发表的较早算法。本文提出了一种改进和简化的局部调度计算算法,并使用了一种新的逻辑时隙到实际时隙的映射函数,以平衡节点之间的发送频率。然后提出了该算法的扩展,该扩展采用了一种技术来降低调度算法所看到的连接图的平均度。它解释了如何在不引起通信冲突的情况下实现这种程度的降低。实时仿真实验结果表明了该算法的性能,并通过局部降阶实现了性能增益。
Pruning Local Schedules for Efficient Swarm Communication
Reliable wireless communication underwater is a precondition for swarming technologies. This paper discusses a time division multiple access (TDMA) algorithm suitable for dynamic multi-hop wireless networks, which offers quick all-to-all information exchange (Omnicast), dense local schedules and predictable latencies. The algorithm is based on an earlier algorithm published by the authors in [Schill F., et al., 2006]. This paper presents an improved and simplified algorithm to calculate the local schedules, and uses a new mapping function for logical time slots to actual time slots, which balances sending frequencies between nodes. An extension of this algorithm is then presented which employs a technique to reduce the average degree of the connection graph as seen by the scheduling algorithm. It is explained how this reduction of degree can be achieved without causing communication collisions. The results of experiments performed in a real time simulation show the performance of the algorithm, and the performance gain achieved by local reduction of the degree.