IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i21p8016-d956060.html
   My bibliography  Save this article

Energy Efficient Routing and Dynamic Cluster Head Selection Using Enhanced Optimization Algorithms for Wireless Sensor Networks

Author

Listed:
  • I. Adumbabu

    (Department of Electronics and Communication Engineering, Annamalai University, Chidambaram 608 002, India)

  • K. Selvakumar

    (Department of Information Technology, Annamalai University, Chidambaram 608 002, India)

Abstract

A large number of spatially dispersed nodes on the wireless network create Wireless Sensor Networks (WSNs) to collect and analyze the physical data from the environment. The issues that affected the network and had an impact on network energy consumption were cluster head random selection, working node redundancy, and cluster head transmission path construction. Consequently, this energy constraint also has an impact on the network lifetime and energy-efficient routing. Therefore, the primary goals of this research are to decrease energy consumption and lengthen the network’s lifespan. So, using improved optimization algorithms, this paper presents a dynamic cluster head-based energy-efficient routing system. The Improved Coyote Optimization Algorithm (ICOA), in this case, consists of three phases setup, transmission, and measurement phase. The Improved Jaya Optimization Algorithm with Levy Flight (IJO-LF) then determines the route between the BS and the CH. It selects the most effective course based on the distance, node degree, and remaining energy. The proposed approach is compared with traditional methods and the routing protocols Power-Efficient Gathering in Sensor Information Systems (PEGASIS) and Threshold sensitive Energy Efficient Sensor Network protocol (TEEN) during implementation on the MATLAB platform. Performance indicators for the suggested methodology are evaluated based on data packets collected by the BS, energy usage, alive nodes, and dead nodes. The outputs of the suggested methodology performed better than the conventional plans.

Suggested Citation

  • I. Adumbabu & K. Selvakumar, 2022. "Energy Efficient Routing and Dynamic Cluster Head Selection Using Enhanced Optimization Algorithms for Wireless Sensor Networks," Energies, MDPI, vol. 15(21), pages 1-18, October.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8016-:d:956060
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/21/8016/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/21/8016/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. C. SriVenkateswaran & D. Sivakumar, 2019. "Secure cluster-based data aggregation in wireless sensor networks with aid of ECC," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 31(2), pages 153-169.
    2. Kaljot Sharma & Darpan Anand & Munish Sabharwal & Pradeep Kumar Tiwari & Omar Cheikhrouhou & Tarek Frikha, 2021. "A Disaster Management Framework Using Internet of Things-Based Interconnected Devices," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-21, May.
    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. Ruipeng Tang & Narendra Kumar Aridas & Mohamad Sofian Abu Talip, 2023. "Design of Wireless Sensor Network for Agricultural Greenhouse Based on Improved Zigbee Protocol," Agriculture, MDPI, vol. 13(8), pages 1-13, July.

    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. Mohamed S. Abdalzaher & Moez Krichen & Derya Yiltas-Kaplan & Imed Ben Dhaou & Wilfried Yves Hamilton Adoni, 2023. "Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey," Sustainability, MDPI, vol. 15(15), pages 1-38, July.
    2. Dianyou Yu & Zheng He, 2022. "Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 1-36, May.
    3. Giuseppe Musolino, 2024. "Methods for Risk Reduction: Modelling Users’ Updating Utilities in Urban Transport Networks," Sustainability, MDPI, vol. 16(6), pages 1-13, March.
    4. 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.
    5. Saad Mazhar Khan & Imran Shafi & Wasi Haider Butt & Isabel de la Torre Diez & Miguel Angel López Flores & Juan Castanedo Galán & Imran Ashraf, 2023. "A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions," Land, MDPI, vol. 12(8), pages 1-37, July.

    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:gam:jeners:v:15:y:2022:i:21:p:8016-:d:956060. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.