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Four-dimensional Markov chain model of single-hop data aggregation with IEEE 802.15.4 in wireless sensor networks

机译:无线传感器网络中基于IEEE 802.15.4的单跳数据聚合的多维Markov链模型

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This paper introduces a new 4D Markov chain model for IEEE 802.15.4 wireless transmission, which corrects and extends an existing 3D model, providing more accurate and comprehensive results. It also introduces an analytical technique for calculating both the pdf and mean of the number of timeslots required to complete all transmissions, when a set of nodes contend for the channel at the beginning of a superframe. It is assumed that transmission takes place in beacon mode but without acknowledgement (NACK mode). The model can be used to determine the optimum value of the MAC attribute macSuperframeOrder (SO) required for saving energy, and the shortest delay required to receive all transmitted packets with a specified probability. It can also specify an upper threshold on the number of nodes and the packet length required, in order to achieve acceptable end-to-end delay. The potential creation of a traffic model for the aggregated data generated by the coordinating node is also discussed.
机译:本文介绍了一种用于IEEE 802.15.4无线传输的新4D马尔可夫链模型,该模型对现有3D模型进行了校正和扩展,从而提供了更加准确和全面的结果。它还介绍了一种分析技术,当一组节点在超帧开始时争用该信道时,可以计算pdf和完成所有传输所需的时隙数的平均值。假定传输在信标模式下进行,但没有确认(NACK模式)。该模型可用于确定节能所需的MAC属性macSuperframeOrder(SO)的最佳值,以及以指定的概率接收所有传输的数据包所需的最短延迟。它还可以指定节点数和所需的数据包长度的上限,以实现可接受的端到端延迟。还讨论了由协调节点生成的聚合数据的流量模型的潜在创建。

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