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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Design and Implementation of a Generic Energy-Harvesting Framework Applied to the Evaluation of a Large-Scale Electronic Shelf-Labeling Wireless Sensor Network
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Design and Implementation of a Generic Energy-Harvesting Framework Applied to the Evaluation of a Large-Scale Electronic Shelf-Labeling Wireless Sensor Network

机译:用于大型电子货架标签无线传感器网络评估的通用能量收集框架的设计与实现

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摘要

Most wireless sensor networks (WSNs) consist of battery-powered nodes and are limited to hundreds of nodes. Battery replacement is a very costly operation and a key factor in limiting successful large-scale deployments. The recent advances in both energy harvesters and low-power communication systems hold promise for deploying large-scale wireless green-powered sensor networks (WGSNs). This will enable new applications and will eliminate environmentally unfriendly battery disposal. This paper explores the use of energy harvesters to scavenge power for nodes in a WSN. The design and implementation of a generic energy-harvesting framework, suited for a WSN simulator as well as a real-life testbed, are proposed. These frameworks are used to evaluate whether a carrier sense multiple access with collision avoidance scheme is sufficiently reliable for use in emerging large-scale energy harvesting electronic shelf label (EHESL) systems (i.e., 12000 labels in a star topology). Both the simulator and testbed experiments yielded an average success rate up to 92%, with an arrival rate of 40 transceive cycles per second. We have demonstrated that our generic energy-harvesting framework is useful for WGSN research because the simulator allowed us to verify the achieved results on the real-life testbed and vice versa.
机译:大多数无线传感器网络(WSN)由电池供电的节点组成,并且限于数百个节点。更换电池是一项非常昂贵的操作,并且是限制成功大规模部署的关键因素。能量收集器和低功率通信系统的最新进展为部署大规模无线绿色供电传感器网络(WGSN)带来了希望。这将启用新的应用程序,并消除对环境不利的电池处置。本文探讨了使用能量收集器为WSN中的节点清除能量。提出了适用于WSN模拟器以及实际测试平台的通用能量收集框架的设计和实现。这些框架用于评估带有冲突避免方案的载波侦听多路访问是否足够可靠,可用于新兴的大规模能量收集电子货架标签(EHESL)系统(即星形拓扑中的12000个标签)。模拟器和测试平台实验的平均成功率均高达92%,每秒到达40个收发周期。我们已经证明了我们通用的能量收集框架对于WGSN研究很有用,因为模拟器使我们能够在实际测试台上验证所获得的结果,反之亦然。

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