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Trade-offs in energy consumption and throughput for a simple two-relay network

机译:简单的两中继网络在能耗和吞吐量方面的权衡

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In this paper, we consider a simple two-relay wireless sensor network with packet retransmission where transmission energy and network geometry can be adjusted to improve the energy efficiency of the whole network. We model the energy states of the system as a Markov chain. With both analytical and numerical methods, we investigate how total energy consumption per packet and system throughput are affected by transmit energy allocation and network geometry. The results indicate that the maximum system throughput and minimum system energy consumption per packet can not be optimized simultaneously. We show there are three operating regions representing different throughput and total energy consumption tradeoffs. The approach taken in this paper could be applied to the sensor networks that have no hard requirement on the throughput and delay.
机译:在本文中,我们考虑了一个简单的两中继无线传感器网络,该网络具有数据包重传功能,可以调整传输能量和网络几何形状,以提高整个网络的能源效率。我们将系统的能量状态建模为马尔可夫链。通过分析和数值方法,我们研究了传输能量分配和网络几何结构如何影响每个数据包的总能耗和系统吞吐量。结果表明,不能同时优化每个数据包的最大系统吞吐量和最小系统能耗。我们显示了三个工作区域代表了不同的吞吐量和总能耗折衷。本文采用的方法可以应用于对吞吐量和延迟没有严格要求的传感器网络。

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