Sustainable Long-Term and Wide-Area Environment Monitoring Network Based on Distributed Self-Powered Wireless Sensing Nodes

被引:37
|
作者
Liu, Di [1 ,2 ]
Li, Chengyu [1 ,2 ]
Chen, Pengfei [1 ,2 ]
Zhao, Xin [1 ]
Tang, Wei [1 ,2 ,3 ]
Wang, Zhong Lin [1 ,2 ,4 ]
机构
[1] Chinese Acad Sci, Beijing Inst Nanoenergy & Nanosyst, CAS Ctr Excellence Nanosci, Beijing 100083, Peoples R China
[2] Univ Chinese Acad Sci, Sch Nanosci & Technol, Beijing 100049, Peoples R China
[3] Inst Appl Nanotechnol, Jiaxing 314031, Zhejiang, Peoples R China
[4] Georgia Inst Technol, Sch Mat Sci & Engn, Atlanta, GA 30332 USA
基金
中国国家自然科学基金;
关键词
distributed networks; environmental monitoring; self-powered; sustainability; wireless nodes; TRIBOELECTRIC NANOGENERATOR; TEMPERATURE; DESIGN;
D O I
10.1002/aenm.202202691
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Environmental monitoring of local climatic variations plays a vital role in the research on global warming, species diversity, ecological sustainability, and so on. Traditional monitoring technologies, such as meteorological stations or satellite imagery, can give an overall environment picture but at high cost, high energy consumption, and with insufficient regional details. Here, a networking system made of low-cost, maintenance-free, and distributed self-powered wireless monitoring nodes is proposed, aimed at establishing a sensing system for long-term and wide-area environment monitoring. It is demonstrated that, as driven by gentle wind, these distributed nodes are able to monitor temperature, humidity, and atmospheric pressure automatically, and then transfer the sensing data to receiving terminals wirelessly using triboelectric nanogenerators as energy harvesting technologies. The longest transmitting distance is 2.1 km. Additionally, a sensing network is formed. By utilizing several nodes, a 2-km(2) region is covered, and the information can be transmitted live using a relay-technology. Furthermore, the node is demonstrated to work for weeks, and continuously send back environmental data. Since the nodes are portable and the embedded sensors are customizable, it is anticipated that the system can be multifunctional and applied in many natural areas, such as forests, prairies, mountains, lake regions, and so on.
引用
收藏
页数:9
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