链路层模型对随机Ad hoc网络容量的影响

V. Mhatre, C. Rosenberg
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引用次数: 10

摘要

研究了随机自组织网络容量渐近界的确定问题。以前的方法假设基于阈值的链路层模型,如果接收端的SINR大于固定阈值,则数据包传输成功。实际上,从SINR到数据包成功概率的映射是连续的。因此,在每一跳上,对于每一个有限的SINR,丢包的概率不为零。利用这一更为现实的链路模型,证明了对于一类广泛的路由和调度方案,每条路由上的固定跳数具有固定的非零丢包概率。在大型网络中,数据包从源到目的的传输跳数渐近增多。结果表明,每跳丢包的累积效应导致每个节点的吞吐量仅为O (1/n)(而不是前面基于阈值的链路模型所示的theta [1/radic(n log n)]))。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Link Layer Model on the Capacity of a Random Ad hoc Network
The problem of determining asymptotic bounds on the capacity of a random ad hoc network is considered. Previous approaches assumed a threshold-based link layer model in which a packet transmission is successful if the SINR at the receiver is greater than a fixed threshold. In reality, the mapping from SINR to packet success probability is continuous. Hence, over each hop, for every finite SINR, there is a non-zero probability of packet loss. With this more realistic link model, it is shown that for a broad class of routing and scheduling schemes, a fixed fraction of hops on each route have a fixed non-zero packet loss probability. In a large network, a packet travels an asymptotically large number of hops from source to destination. Consequently, it is shown that the cumulative effect of per-hop packet loss results in a per-node throughput of only O (1/n) (instead of thetas[1/radic(n log n)] as shown previously for the threshold-based link model)
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