IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v76y2017icp1176-1184.html
   My bibliography  Save this article

A Review on energy management schemes in energy harvesting wireless sensor networks

Author

Listed:
  • Babayo, Aliyu Aliyu
  • Anisi, Mohammad Hossein
  • Ali, Ihsan

Abstract

Wireless Sensor Networks (WSNs) are becoming more and more integrated into industrial and domestic systems such as transport, home automation, etc. However, due to their own characteristics, there are several issues which affect their performance. Some of the issues are briefly presented, but the emphasis is on energy constraint. Energy harvesting as one of the sources of energy in WSNs is found to be the most reliable, and this review is about energy management schemes for this source. The energy management schemes are designed for efficient use of harvested energy. The review puts the energy management schemes into classes that represent different application requirements.

Suggested Citation

  • Babayo, Aliyu Aliyu & Anisi, Mohammad Hossein & Ali, Ihsan, 2017. "A Review on energy management schemes in energy harvesting wireless sensor networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1176-1184.
  • Handle: RePEc:eee:rensus:v:76:y:2017:i:c:p:1176-1184
    DOI: 10.1016/j.rser.2017.03.124
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032117304598
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2017.03.124?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ferdous, Raquib Md. & Reza, Ahmed Wasif & Siddiqui, Muhammad Faisal, 2016. "Renewable energy harvesting for wireless sensors using passive RFID tag technology: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1114-1128.
    2. Shaikh, Faisal Karim & Zeadally, Sherali, 2016. "Energy harvesting in wireless sensor networks: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1041-1054.
    3. Gaddafi Abdul-Salaam & Abdul Hanan Abdullah & Mohammad Hossein Anisi & Abdullah Gani & Abdulhameed Alelaiwi, 2016. "A comparative analysis of energy conservation approaches in hybrid wireless sensor networks data collection protocols," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 61(1), pages 159-179, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tan, Ting & Yan, Zhimiao & Zou, Hongxiang & Ma, Kejing & Liu, Fengrui & Zhao, Linchuan & Peng, Zhike & Zhang, Wenming, 2019. "Renewable energy harvesting and absorbing via multi-scale metamaterial systems for Internet of things," Applied Energy, Elsevier, vol. 254(C).
    2. H Ufuk Gökçe & K Umut Gökçe, 2021. "Intelligent energy optimization system development and validation for German building types [The governance of the European Energy Union: efficiency, effectiveness and acceptance of the Winter Pack," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(4), pages 1299-1316.
    3. Carolina Del-Valle-Soto & Ramiro Velázquez & Leonardo J. Valdivia & Nicola Ivan Giannoccaro & Paolo Visconti, 2020. "An Energy Model Using Sleeping Algorithms for Wireless Sensor Networks under Proactive and Reactive Protocols: A Performance Evaluation," Energies, MDPI, vol. 13(11), pages 1-31, June.
    4. Yujia Ge & Yurong Nan & Xianhai Guo, 2021. "Maximizing network throughput by cooperative reinforcement learning in clustered solar-powered wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 17(4), pages 15501477211, April.
    5. Kansha, Yasuki & Ishizuka, Masanori, 2019. "Design of energy harvesting wireless sensors using magnetic phase transition," Energy, Elsevier, vol. 180(C), pages 1001-1007.
    6. Yao, Yao & Shen, Zhicheng & Wang, Qiliang & Du, Jiyun & Lu, Lin & Yang, Hongxing, 2023. "Development of an inline bidirectional micro crossflow turbine for hydropower harvesting from water supply pipelines," Applied Energy, Elsevier, vol. 329(C).
    7. Carolina Del-Valle-Soto & Leonardo J. Valdivia & Ramiro Velázquez & Luis Rizo-Dominguez & Juan-Carlos López-Pimentel, 2019. "Smart Campus: An Experimental Performance Comparison of Collaborative and Cooperative Schemes for Wireless Sensor Network," Energies, MDPI, vol. 12(16), pages 1-23, August.
    8. Ruiying Li & Wenting Ma & Ning Huang & Rui Kang, 2017. "Deployment-based lifetime optimization for linear wireless sensor networks considering both retransmission and discrete power control," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-19, November.
    9. Giovanni Pau & Mario Collotta & Vincenzo Maniscalco, 2017. "Bluetooth 5 Energy Management through a Fuzzy-PSO Solution for Mobile Devices of Internet of Things," Energies, MDPI, vol. 10(7), pages 1-22, July.
    10. Moudgil, Vipul & Hewage, Kasun & Hussain, Syed Asad & Sadiq, Rehan, 2023. "Integration of IoT in building energy infrastructure: A critical review on challenges and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    11. Wang, Feng & Sun, Xiuting & Xu, Jian, 2018. "A novel energy harvesting device for ultralow frequency excitation," Energy, Elsevier, vol. 151(C), pages 250-260.
    12. Sahraei, Nasim & Looney, Erin E. & Watson, Sterling M. & Peters, Ian Marius & Buonassisi, Tonio, 2018. "Adaptive power consumption improves the reliability of solar-powered devices for internet of things," Applied Energy, Elsevier, vol. 224(C), pages 322-329.
    13. Wang, Lu & Fei, Zhenxuan & Duan, Congsheng & Han, Xiangguang & Li, Min & Gao, Wendi & Xia, Yong & Jia, Chen & Lin, Qijing & Zhao, Yihe & Li, Zhikang & Zhao, Libo & Jiang, Zhuangde & Maeda, Ryutaro, 2024. "Self-sustained and self-wakeup wireless vibration sensors by electromagnetic-piezoelectric-triboelectric hybrid energy harvesting," Applied Energy, Elsevier, vol. 355(C).
    14. Mahdi Zareei & Cesar Vargas-Rosales & Mohammad Hossein Anisi & Leila Musavian & Rafaela Villalpando-Hernandez & Shidrokh Goudarzi & Ehab Mahmoud Mohamed, 2019. "Enhancing the Performance of Energy Harvesting Sensor Networks for Environmental Monitoring Applications," Energies, MDPI, vol. 12(14), pages 1-14, July.
    15. Su, Xunwen & Tong, Chang & Pang, Huiren & Tomovic, Mileta, 2023. "Research on pendulum-type tunable vibration energy harvesting," Energy, Elsevier, vol. 278(C).
    16. Ahmed Redha Mahlous, 2017. "SCMC: An Efficient Scheme for Minimizing Energy in WSNs Using a Set Cover Approach," Future Internet, MDPI, vol. 9(4), pages 1-18, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sunil Kr. Jha & Egbe Michael Eyong, 2018. "An energy optimization in wireless sensor networks by using genetic algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(1), pages 113-121, January.
    2. Zeadally, Sherali & Shaikh, Faisal Karim & Talpur, Anum & Sheng, Quan Z., 2020. "Design architectures for energy harvesting in the Internet of Things," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    3. Dimitrios A. Papathanasopoulos & Konstantinos N. Giannousakis & Evangelos S. Dermatas & Epaminondas D. Mitronikas, 2021. "Vibration Monitoring for Position Sensor Fault Diagnosis in Brushless DC Motor Drives," Energies, MDPI, vol. 14(8), pages 1-24, April.
    4. Farnaz Derakhshan & Shamim Yousefi, 2019. "A review on the applications of multiagent systems in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 15(5), pages 15501477198, May.
    5. Kilian D. Stenning & Jack C. Gartside & Luca Manneschi & Christopher T. S. Cheung & Tony Chen & Alex Vanstone & Jake Love & Holly Holder & Francesco Caravelli & Hidekazu Kurebayashi & Karin Everschor-, 2024. "Neuromorphic overparameterisation and few-shot learning in multilayer physical neural networks," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    6. Ashraf Virk, Mati-ur-Rasool & Mysorewala, Muhammad Faizan & Cheded, Lahouari & Aliyu, AbdulRahman, 2022. "Review of energy harvesting techniques in wireless sensor-based pipeline monitoring networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    7. Yang, Chen & Xue, RuiPu & Li, Xu & Zhang, XiaoQing & Wu, ZhenYu, 2020. "Power performance of solar energy harvesting system under typical indoor light sources," Renewable Energy, Elsevier, vol. 161(C), pages 836-845.
    8. Wang, Yilong & Yang, Zhengbao & Cao, Dengqing, 2021. "On the offset distance of rotational piezoelectric energy harvesters," Energy, Elsevier, vol. 220(C).
    9. Wei, Chongfeng & Jing, Xingjian, 2017. "A comprehensive review on vibration energy harvesting: Modelling and realization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1-18.
    10. Cao, Dong-Xing & Lu, Yi-Ming & Lai, Siu-Kai & Mao, Jia-Jia & Guo, Xiang-Ying & Shen, Yong-Jun, 2022. "A novel soft encapsulated multi-directional and multi-modal piezoelectric vibration energy harvester," Energy, Elsevier, vol. 254(PB).
    11. Young Hoo Cho & Jaehyun Park & Naehyuck Chang & Jaemin Kim, 2020. "Comparison of Cooling Methods for a Thermoelectric Generator with Forced Convection," Energies, MDPI, vol. 13(12), pages 1-19, June.
    12. Fang, Zheng & Tan, Xing & Liu, Genshuo & Zhou, Zijie & Pan, Yajia & Ahmed, Ammar & Zhang, Zutao, 2022. "A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains," Applied Energy, Elsevier, vol. 318(C).
    13. Liu, Qi & Qin, Weiyang & Zhou, Zhiyong & Shang, Mengjie & Zhou, Honglei, 2023. "Harvesting low-speed wind energy by bistable snap-through and amplified inertial force," Energy, Elsevier, vol. 284(C).
    14. Tan, Ting & Yan, Zhimiao & Zou, Hongxiang & Ma, Kejing & Liu, Fengrui & Zhao, Linchuan & Peng, Zhike & Zhang, Wenming, 2019. "Renewable energy harvesting and absorbing via multi-scale metamaterial systems for Internet of things," Applied Energy, Elsevier, vol. 254(C).
    15. Jijian Lian & Ou Cai & Xiaofeng Dong & Qi Jiang & Yue Zhao, 2019. "Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
    16. Hassan Elahi & Marco Eugeni & Paolo Gaudenzi, 2018. "A Review on Mechanisms for Piezoelectric-Based Energy Harvesters," Energies, MDPI, vol. 11(7), pages 1-35, July.
    17. Carlos M. Avendaño-Lopez & Rogelio Castro-Sanchez & Dora L. Almanza-Ojeda & Juan Gabriel Avina-Cervantes & Miguel A. Gomez-Martinez & Mario A. Ibarra-Manzano, 2022. "Scalable Visible Light Indoor Positioning System Using RSS," Mathematics, MDPI, vol. 10(10), pages 1-21, May.
    18. Wang, Zhemin & Du, Yu & Li, Tianrun & Yan, Zhimiao & Tan, Ting, 2021. "A flute-inspired broadband piezoelectric vibration energy harvesting device with mechanical intelligent design," Applied Energy, Elsevier, vol. 303(C).
    19. Liu, Feng-Rui & Zhang, Wen-Ming & Peng, Zhi-Ke & Meng, Guang, 2019. "Fork-shaped bluff body for enhancing the performance of galloping-based wind energy harvester," Energy, Elsevier, vol. 183(C), pages 92-105.
    20. Gerald K Ijemaru & Kenneth Li-Minn Ang & Jasmine KP Seng, 2022. "Wireless power transfer and energy harvesting in distributed sensor networks: Survey, opportunities, and challenges," International Journal of Distributed Sensor Networks, , vol. 18(3), pages 15501477211, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:76:y:2017:i:c:p:1176-1184. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.