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Packet Length Adaptation for Energy-Proportional Routing in Clustered Sensor Networks

机译:集群传感器网络中能量比例路由的数据包长度适配

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摘要

We study the maximization of throughput and energy utilization in noisy wireless channels by adjusting packet length adaptively to network instant statistics. The optimal packet length adaptation (PLA) for throughput and energy utilization in wireless networks with and without re-transmission is respectively derived and developed. As more noises introducing more energy consumptions, the noises are equivalently regarded as lengthening of transmission distances. Therefore, an equivalent distance model of noisy channels is developed for more accurate estimation of the dissipated proportion in the residual energy such that further improvement of energy utilization and throughput is obtained. We integrate the PLA with the energy-proportional routing (EPR) algorithm for best balance of energy load. Therefore, performance metrics such as lifetime extension, throughput, and energy utilization are maximized even the distribution of channel noise is so un-predictable. Since the equivalent distance is dynamic, we believe that it is useful for network topology re-organization and will be useful in the future work of mobile ad-hoc networks.
机译:我们通过自适应地调整数据包长度以适应网络即时统计,研究在嘈杂的无线信道中吞吐量和能量利用率的最大化。分别推导和开发了具有和不具有重传的无线网络中用于吞吐量和能量利用的最佳分组长度适配(PLA)。随着更多的噪声引入更多的能量消耗,这些噪声等效地被认为是传输距离的延长。因此,开发了噪声通道的等效距离模型,以更准确地估计剩余能量中的耗散比例,从而获得能量利用率和吞吐量的进一步提高。我们将PLA与能量比例路由(EPR)算法集成在一起,以实现能量负载的最佳平衡。因此,即使信道噪声的分布是如此不可预测,诸如寿命延长,吞吐量和能量利用率之类的性能指标也会最大化。由于等效距离是动态的,因此我们认为它对网络拓扑重组很有用,并且在移动自组织网络的未来工作中将很有用。

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