Energy Harvesting Techniques for Internet of Things (IoT)

被引:183
作者
Sanislav, Teodora [1 ]
Mois, George Dan [1 ]
Zeadally, Sherali [2 ]
Folea, Silviu Corneliu [1 ]
机构
[1] Tech Univ Cluj Napoca, Automat Dept, Cluj Napoca 400114, Romania
[2] Univ Kentucky, Coll Commun & Informat, Lexington, KY 40506 USA
来源
IEEE ACCESS | 2021年 / 9卷 / 09期
关键词
Wireless sensor networks; Energy harvesting; Wireless communication; Sensors; Batteries; Internet of Things; Communication system security; Energy efficiency; energy harvesting; IoT device; wireless sensor networks; WIRELESS SENSOR NETWORKS; CLUSTERING PROTOCOL; SYSTEM; EFFICIENCY; TEMPERATURE; PLATFORM; MOTION; HEAT;
D O I
10.1109/ACCESS.2021.3064066
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rapid growth of the Internet of Things (IoT) has accelerated strong interests in the development of low-power wireless sensors. Today, wireless sensors are integrated within IoT systems to gather information in a reliable and practical manner to monitor processes and control activities in areas such as transportation, energy, civil infrastructure, smart buildings, environment monitoring, healthcare, defense, manufacturing, and production. The long-term and self-sustainable operation of these IoT devices must be considered early on when they are designed and implemented. Traditionally, wireless sensors have often been powered by batteries, which, despite allowing low overall system costs, can negatively impact the lifespan and the performance of the entire network they are used in. Energy Harvesting (EH) technology is a promising environment-friendly solution that extends the lifetime of these sensors, and, in some cases completely replaces the use of battery power. In addition, energy harvesting offers economic and practical advantages through the optimal use of energy, and the provisioning of lower network maintenance costs. We review recent advances in energy harvesting techniques for IoT. We demonstrate two energy harvesting techniques using case studies. Finally, we discuss some future research challenges that must be addressed to enable the large-scale deployment of energy harvesting solutions for IoT environments.
引用
收藏
页码:39530 / 39549
页数:20
相关论文
共 161 条
[1]   A MARKOV-MODULATED DIFFUSION MODEL FOR ENERGY HARVESTING SENSOR NODES [J].
Abdelrahman, Omer H. .
PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, 2017, 31 (04) :505-515
[2]   Autonomous Energy-Efficient Wireless Sensor Network Platform for Home/Office Automation [J].
Abella, Crispino S. ;
Bonina, Salvo ;
Cucuccio, Antonino ;
D'Angelo, Salvatore ;
Giustolisi, Gianluca ;
Grasso, Alfio D. ;
Imbruglia, Antonio ;
Mauro, Giorgio S. ;
Nastasi, Giuseppe A. M. ;
Palumbo, Gaetano ;
Pennisi, Salvatore ;
Sorbello, Gino ;
Scuderi, Antonino .
IEEE SENSORS JOURNAL, 2019, 19 (09) :3501-3512
[3]  
Abhyankar, 2010, P IEEE INT C COMM CA, P1, DOI DOI 10.1109/ICC.2010.5502464
[4]   Recent advances and future prospects in energy harvesting technologies [J].
Akinaga, Hiroyuki .
JAPANESE JOURNAL OF APPLIED PHYSICS, 2020, 59 (11)
[5]   Modeling of Multiple Energy Sources for Hybrid Energy Harvesting IoT Systems [J].
Altinel, Dogay ;
Kurt, Gunes Karabulut .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (06) :10846-10854
[6]   Modeling of Hybrid Energy Harvesting Communication Systems [J].
Altinel, Dogay ;
Kurt, Gunes Karabulut .
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2019, 3 (02) :523-534
[7]  
AMS AG, 2018, CCS811 GAS SENSOR SO
[8]  
[Anonymous], 2011, BQ25504 ULTRA LOW PO
[9]  
[Anonymous], 2017, MICRO NANO SYST LETT, DOI [DOI 10.1186/S40486-017-0051-0/TABLES/5, 10.1186/s40486-017-0051-0, DOI 10.1186/S40486-017-0051-0]
[10]  
[Anonymous], 2005, ITU INTERNET REPORTS, DOI DOI 11.1002/PUB/800EAE6F-EN