IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v67y2018i1d10.1007_s11235-017-0324-1.html
   My bibliography  Save this article

An energy optimization in wireless sensor networks by using genetic algorithm

Author

Listed:
  • Sunil Kr. Jha

    (University of Information Technology and Management in Rzeszow)

  • Egbe Michael Eyong

    (University of Information Science and Technology “St. Paul the Apostle”)

Abstract

Wireless sensor networks (WSNs) are used for several commercial and military applications, by collecting, processing and distributing a wide range of data. Maximizing the battery life of WSNs is crucial in improving the performance of WSN. In the present study, different variations of genetic algorithm (GA) method have been implemented independently on energy models for data communication of WSNs with the objective to find out the optimal energy $$\hbox {(E)}$$ (E) consumption conditions. Each of the GA methods results in an optimal set of parameters for minimum energy consumption in WSN related to the type of selected energy model for data communication, while the best performance of the GA method [energy consumption $$(\hbox {E}=3.49\times 10^{-4}\,\hbox {J})$$ ( E = 3.49 × 10 - 4 J ) ] is obtained in WSN for communication distance (d) $${\ge }87\,\hbox {m}$$ ≥ 87 m in between the sensor cluster head and a base station.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:telsys:v:67:y:2018:i:1:d:10.1007_s11235-017-0324-1
    DOI: 10.1007/s11235-017-0324-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-017-0324-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11235-017-0324-1?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. 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.
    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.
    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. Hilary I. Okagbue & Muminu O. Adamu & Timothy A. Anake & Ashiribo S. Wusu, 2019. "Nature inspired quantile estimates of the Nakagami distribution," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(4), pages 517-541, December.
    2. Sudhanshu Tiwari & Gaurav Kumar & Ayush Raj & Prateek & Rajeev Arya, 0. "Water cycle algorithm perspective on energy constraints in WSN," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-8.
    3. Chandra Naik & Pushparaj D. Shetty, 2022. "FLAG: fuzzy logic augmented game theoretic hybrid hierarchical clustering algorithm for wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(4), pages 559-571, April.
    4. Sudhanshu Tiwari & Gaurav Kumar & Ayush Raj & Prateek & Rajeev Arya, 2020. "Water cycle algorithm perspective on energy constraints in WSN," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 253-260, April.

    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. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. Wang, Yilong & Yang, Zhengbao & Cao, Dengqing, 2021. "On the offset distance of rotational piezoelectric energy harvesters," Energy, Elsevier, vol. 220(C).
    7. 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).
    8. 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.
    9. 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).
    10. 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).
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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).
    16. 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.
    17. 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.
    18. Hu, Yili & Yi, Zhiran & Dong, Xiaoxue & Mou, Fangxiao & Tian, Yingwei & Yang, Qinghai & Yang, Bin & Liu, Jingquan, 2019. "High power density energy harvester with non-uniform cantilever structure due to high average strain distribution," Energy, Elsevier, vol. 169(C), pages 294-304.
    19. Sudhanshu Tiwari & Gaurav Kumar & Ayush Raj & Prateek & Rajeev Arya, 2020. "Water cycle algorithm perspective on energy constraints in WSN," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 253-260, April.
    20. Sajib Roy & Md Humayun Kabir & Md Salauddin & Miah A. Halim, 2022. "An Electromagnetic Wind Energy Harvester Based on Rotational Magnet Pole-Pairs for Autonomous IoT Applications," Energies, MDPI, vol. 15(15), pages 1-14, August.

    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:spr:telsys:v:67:y:2018:i:1:d:10.1007_s11235-017-0324-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.