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A survey of backpressure based scheduling algorithms for delay tolerant networks

机译:基于背压的时延容忍网络调度算法研究

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The Delay Tolerant Networks (DTN) are networks where the end-to-end paths between source and destination are unstable or unlikely. In such networks, conventional path-discovery-based MANET routing techniques like AODV and DSR are not possible because the network may not form a single connected partition at any time, and thus a full path may never exist between the source and the destination. In such cases a store and forward algorithm is required, where the data packets can be stored in the network and be delivered before its deadline is over. Backpressure is one such algorithm, which stores data packets in queues and tries to deliver data packets to their final destination by building up gradients. It has been proved that this algorithm works effectively during peak traffic period compared to other DTN algorithm such as epidermis, spray and wait, Maxprop, etc., This paper is brief study of backpressure algorithm from its origin to its developed versions at present. It also explains the methods that can improve the working of backpressure in high traffic as well as low traffic with reduced overloads at the nodes maintaining queues.
机译:延迟容忍网络(DTN)是源和目标之间的端到端路径不稳定或不太可能出现的网络。在这样的网络中,常规的基于路径发现的MANET路由技术(如AODV和DSR)是不可能的,因为网络在任何时候都可能不会形成单个连接的分区,因此源与目标之间可能永远不会存在完整的路径。在这种情况下,需要一种存储转发算法,其中数据包可以存储在网络中,并可以在截止日期结束之前进行传递。背压就是这样一种算法,它将数据包存储在队列中,并尝试通过建立梯度将数据包传递到其最终目的地。事实证明,与其他DTN算法(如表皮,喷雾和等待,Maxprop等)相比,该算法在高峰流量期间能有效工作。本文对反压算法的起源和发展进行了简要的研究。它还说明了可以改善高流量和低流量中的背压的工作方式,并减少了维护队列的节点上的过载的方法。

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