{"title":"Self-Sustained Artificial Internet of Things Based on Vibration Energy Harvesting Technology: Toward the Future Eco-Society","authors":"Yunfei Li, Zhongda Sun, Manjuan Huang, Lining Sun, Huicong Liu, Chengkuo Lee","doi":"10.1002/aesr.202400116","DOIUrl":null,"url":null,"abstract":"<p>Clean energy has emerged as the focal point of global energy and power development. With the advancement of 5G technology and the Internet of Things (IoT), the demand for sustainable energy supply has become more pressing, leading to widespread attention to vibration energy harvesting technology. This technology enables the conversion of vibrational energy from natural phenomena such as ocean waves and wind, as well as machinery operation and human activities, into electrical energy, thus supporting the expansion of self-sustained IoT systems. This review provides an overview of the progress in vibration energy harvesting technology and discusses the integration of this technology with self-powered sensors and artificial intelligence. These integrations are reflected in the enhanced accuracy of environmental monitoring, increased efficiency in intelligent transportation and industrial production, and improved quality of life through intelligent healthcare and smart home. Such applications demonstrate the significant potential of self-sustained artificial IoT in promoting environmental sustainability and elevating the level of intelligent living. In summary, exploring and applying vibration energy harvesting technology to support the autonomous operation of IoT devices is key to building a more sustainable, intelligent, and interconnected world.</p>","PeriodicalId":29794,"journal":{"name":"Advanced Energy and Sustainability Research","volume":"5 11","pages":""},"PeriodicalIF":6.2000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aesr.202400116","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Energy and Sustainability Research","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/aesr.202400116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Clean energy has emerged as the focal point of global energy and power development. With the advancement of 5G technology and the Internet of Things (IoT), the demand for sustainable energy supply has become more pressing, leading to widespread attention to vibration energy harvesting technology. This technology enables the conversion of vibrational energy from natural phenomena such as ocean waves and wind, as well as machinery operation and human activities, into electrical energy, thus supporting the expansion of self-sustained IoT systems. This review provides an overview of the progress in vibration energy harvesting technology and discusses the integration of this technology with self-powered sensors and artificial intelligence. These integrations are reflected in the enhanced accuracy of environmental monitoring, increased efficiency in intelligent transportation and industrial production, and improved quality of life through intelligent healthcare and smart home. Such applications demonstrate the significant potential of self-sustained artificial IoT in promoting environmental sustainability and elevating the level of intelligent living. In summary, exploring and applying vibration energy harvesting technology to support the autonomous operation of IoT devices is key to building a more sustainable, intelligent, and interconnected world.
期刊介绍:
Advanced Energy and Sustainability Research is an open access academic journal that focuses on publishing high-quality peer-reviewed research articles in the areas of energy harvesting, conversion, storage, distribution, applications, ecology, climate change, water and environmental sciences, and related societal impacts. The journal provides readers with free access to influential scientific research that has undergone rigorous peer review, a common feature of all journals in the Advanced series. In addition to original research articles, the journal publishes opinion, editorial and review articles designed to meet the needs of a broad readership interested in energy and sustainability science and related fields.
In addition, Advanced Energy and Sustainability Research is indexed in several abstracting and indexing services, including:
CAS: Chemical Abstracts Service (ACS)
Directory of Open Access Journals (DOAJ)
Emerging Sources Citation Index (Clarivate Analytics)
INSPEC (IET)
Web of Science (Clarivate Analytics).