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Multicast Traffic Throughput Maximization through Dynamic Modulation and Coding Scheme Assignment in Wireless Sensor Networks

机译:多播流量吞吐量通过无线传感器网络中的动态调制和编码方案分配最大化

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The paper studies the following question: to what extent traffic throughput of a wireless sensor network (WSN) can be increased when dynamic assignment of modulation and coding schemes (MCS) is applied. We assume a TDMA-based scheme that is capable of changing the MCS used by the broadcasting nodes from a time slot to a time slot of the frame. The traffic throughput is measured by the size of the frame (the smaller the size the larger the throughput) that is necessary to carry the assumed volumes of data produced cyclically by the multicast traffic sources (e.g., sensors). Since we consider multi-hop networks, this means that the per-cycle data volume produced by each source must be delivered to all nodes in its multicast routing tree within one frame time-span. To answer this question we introduce a mixed-integer programming formulation of the related optimization, and use it in a numerical study that illustrates possible gains of dynamic MCS assignment. The presented optimization model is novel since only its unicast counterparts have been considered so far.
机译:本文研究了以下问题:当应用调制和编码方案(MCS)的动态分配时,可以增加无线传感器网络(WSN)的业务吞吐量的程度。我们假设基于TDMA的方案,其能够将广播节点从时隙到帧的时隙的时隙改变的基于TDMA的方案。流量吞吐量由帧的大小(越大越大的吞吐量越小的尺寸)测量,这是通过多播交通源(例如,传感器)循环产生的假设数据所必需的。由于我们考虑多跳网络,这意味着每个源产生的每循环数据卷必须在一个帧时间跨度内传送到其组播路由树中的所有节点。为了回答这个问题,我们介绍了相关优化的混合整数编程配方,并在数字研究中使用它,说明动态MCS分配的可能增益。由于迄今为止,仅被认为只有其单播的同行,所呈现的优化模型是新颖的。

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