IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v79y2022i4d10.1007_s11235-022-00878-2.html
   My bibliography  Save this article

FLAG: fuzzy logic augmented game theoretic hybrid hierarchical clustering algorithm for wireless sensor networks

Author

Listed:
  • Chandra Naik

    (National Institute of Technology Karnataka)

  • Pushparaj D. Shetty

    (National Institute of Technology Karnataka)

Abstract

Stability of the wireless sensor network (WSN) is the most critical factor in real-time and data-sensitive applications like military and surveillance systems. Many energy optimization techniques and algorithms have been proposed to extend the stability of a wireless sensor network. Clustering is a well regarded method in the research communities among them. Hence, this paper presents hybrid hierarchical artificial intelligence based clustering techniques, named FLAG and I-FLAG. The first phase of these algorithms use game-theoretic technique to elect suitable cluster heads (CHs) and later phase of the algorithms use fuzzy inference system to select appropriate super cluster heads (SCHs) among CHs. The I-FLAG is an improved version of FLAG where additional parameters like energy and distance are considered to elect CHs. Simulations are performed to check superiority of the proposed algorithms over the existing protocols like LEACH, CHEF, and CROSS. Simulation results show that the average stability period of WSN is better in FLAG and I-FLAG compared to other protocols, and so is the throughput of WSN during the stability period.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:telsys:v:79:y:2022:i:4:d:10.1007_s11235-022-00878-2
    DOI: 10.1007/s11235-022-00878-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-022-00878-2
    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/s11235-022-00878-2?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. Akhilesh Panchal & Rajat Kumar Singh, 2021. "EHCR-FCM: Energy Efficient Hierarchical Clustering and Routing using Fuzzy C-Means for Wireless Sensor Networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 76(2), pages 251-263, February.
    2. 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.
    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. Yanting Zhang & Zhe Zhu & Wei Ning & Amir M. Fathollahi-Fard, 2022. "An Improved Optimization Algorithm Based on Density Grid for Green Storage Monitoring System," Sustainability, MDPI, vol. 14(17), pages 1-19, August.

    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. 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, 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.
    3. Sankar Sennan & Somula Ramasubbareddy & Rajesh Kumar Dhanaraj & Anand Nayyar & Balamurugan Balusamy, 2024. "Energy-efficient cluster head selection in wireless sensor networks-based internet of things (IoT) using fuzzy-based Harris hawks optimization," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(1), pages 119-135, September.
    4. Akhilesh Panchal & Rajat Kumar Singh, 2021. "EOCGS: energy efficient optimum number of cluster head and grid head selection in wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(1), pages 1-13, September.
    5. 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.
    6. Han-Dong Jia & Shu-Chuan Chu & Pei Hu & LingPing Kong & XiaoPeng Wang & Václav Snášel & Tong-Bang Jiang & Jeng-Shyang Pan, 2022. "Hybrid algorithm optimization for coverage problem in wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(1), pages 105-121, May.

    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:79:y:2022:i:4:d:10.1007_s11235-022-00878-2. 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.