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无线传感网合作式充电与数据收集算法研究 被引量:1

Research on cooperative charging and data collection algorithms for wireless sensor networks
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摘要 为同时改善无线传感器网络的能量补充效率和网络服务质量,本文提出了一种利用电子标签的无线传感器网络合作式无线充电和数据收集算法,根据通信方式的不同,具体提出了TBR和TDC 2种方案,通过将网络中的节点进行分簇,并在单个簇内部署簇内移动读取器进行路径移动,对簇内的各个节点进行充电和数据收集;在簇间部署簇间移动读取器收集簇内读取器内的数据并将数据传输给汇聚节点进行数据处理,通过分簇完成对节点充电和数据收集任务的分层处理。通过仿真验证,证明合作式充电策略可应用在大型区域内部署的网络,并且保证所需的移动读取器数量最少,数据传输至汇聚节点的时延最短,TBR方案与TDC方案有效。 Using electronic tags and according to different communication methods,this paper presents a cooperative wireless charging and data collection algorithm for WSNs to improve the energy replenishment efficiency and quality of service of wireless sensor networks(WSNs)at the same time.This work specifically proposes two schemes—TBR and TDC—which charge and collect cluster node data,respectively,by clustering nodes in the network and deploying intra-cluster mobile readers within a single cluster for path movement.An inter-cluster mobile reader is deployed between clusters to collect data of the in-cluster reader and transmit the information to the sink node for data processing.Hierarchical processing of node charging and data collection tasks are completed by clustering.Simulation verification proves that the cooperative charging strategy can be applied to the network deployed in a large area,the minimum number of mobile readers required is guaranteed,the delay of data transmission to the aggregation node is the shortest,and the TBR and TDC schemes are effective.
作者 神显豪 许航瑀 邓酩 牛少华 SHEN Xianhao;XU Hangyu;DENG Ming;NIU Shaohua(School of Mechanical and Electrical Engineering,Beijing Institute of Technology,Beijing 100081,China;Guangxi Key Laboratory of Embedded Technology and Intelligent System,Guilin University of Technology,Guilin 541006,China)
出处 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2019年第12期2070-2076,共7页 Journal of Harbin Engineering University
基金 国家自然科学基金项目(61741303) 广西自然科学基金项目(2018GXNSFAA294061) 广西重点研发计划课题(2017AC05027) 广西高校科研项目(KY2016YB195)
关键词 无线传感器网络 射频识别标签 充电 分簇 数据信道 合作式策略 非合作式策略 数据收集 wireless sensor network RFID tag charging clustering data channel cooperative strategy non-cooperative strategy data collection
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