IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v5y2021i6id19375.html

An improved Whale Optimization Approach for Effective Data Transmission for IoT Communication

Author

Listed:
  • Abidullha Adel
  • Md Sohel Rana
  • Nuruzzam Rana
  • Md Alamin Hosan
  • Mohammad Akbar Shapoor

Abstract

Internet of Things (IoT) offers interconnection among several wireless communication devices for the provision of device accessibility and in-built capacity. IoT provides device interaction and provision of advantages capability for networking and socialization with consideration of intermediate devices. Through innovation in technology IoT devices convert cyber environments with hyper-connectivity. IoT communication contains several smart devices such as body sensors, smartphones, tags, electronic gadgets, and so on. IoT communication is involved in the provision of heterogeneous connectivity among devices for the provision of interface and connectivity for enhancing service quality. The data sending among IoT devices is affected by several threats that have an impact on the network’s performance. To overcome the limitation related to IoT communication, it is necessary to develop an appropriate technique for enhancing IoT network communication performance. In this research developed a multi-channel routing approach is adopted in IoT communication. The developed approach utilizes a meta-heuristics approach with probability-based characteristics. For the meta-heuristics approach this research utilizes whale optimization technique combined with probability characteristics for improving the IoT communication performance of the network. The proposed approach utilizes initially constructs the IoT communication path for information sharing and gathering. This path information is identified through the objective function of a meta-heuristic approach. Based on the objective function hoping between the devices is minimized through which data are transmitted in the network. Simulation is performed as a unique proposed approach with a coverage area of 100 meters. For identification of the optimal path in the network, WOA identifies the path of communication through probability function. Comparative analysis of research exhibited that WOA provides significant performance with the identification of optimal value at the range of 1.0746e-78. Further, the proposed probability-based WOA approach significantly improves the performance of the IoT network.

Suggested Citation

  • Abidullha Adel & Md Sohel Rana & Nuruzzam Rana & Md Alamin Hosan & Mohammad Akbar Shapoor, 2021. "An improved Whale Optimization Approach for Effective Data Transmission for IoT Communication," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 5(6), pages 49-57, November.
  • Handle: RePEc:epw:ejece0:v:5:y:2021:i:6:id:19375
    DOI: 10.24018/ejece.2021.5.6.375
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19375
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejece/article/download/19375/11209
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejece.2021.5.6.375?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
    ---><---

    References listed on IDEAS

    as
    1. Ilkyu Ha & Mamurjon Djuraev & Byoungchul Ahn, 2014. "An Energy-Efficient Data Collection Method for Wireless Multimedia Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 10(9), pages 698452-6984, September.
    2. Mattila, Juri, 2016. "The Blockchain Phenomenon – The Disruptive Potential of Distributed Consensus Architectures," ETLA Working Papers 38, The Research Institute of the Finnish Economy.
    Full references (including those not matched with items on IDEAS)

    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. Magnus Schückes & Tobias Gutmann, 2021. "Why do startups pursue initial coin offerings (ICOs)? The role of economic drivers and social identity on funding choice," Small Business Economics, Springer, vol. 57(2), pages 1027-1052, August.
    2. Rafael Bettín-Díaz & Alix E. Rojas & Camilo Mejía-Moncayo, 2022. "Colombian Origin Coffee Supply Chain Traceability by a Blockchain Implementation," SN Operations Research Forum, Springer, vol. 3(4), pages 1-15, December.
    3. Adjovu, Charles & Fabian, Ewa, 2020. "Blockchain-mediated Licensing: Legal Engineering for Artist Empowerment," LawRxiv kfjxa, Center for Open Science.
    4. Mattila, Juri & Seppälä, Timo & Lähteenmäki, Ilkka, 2018. "Who Holds the Reins? – Banks in the Crossfire of Global Platforms," ETLA Reports 86, The Research Institute of the Finnish Economy.
    5. Albekov Adam Umarovich & Vovchenko Natalia Gennadyevna & Andreeva Olga Vladimirovna & Sichev Roman Alexandrovich, 2017. "Block Chain and Financial Controlling in the System of Technological Provision of Large Corporations," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 3-12.
    6. Horim Kim & Jaeyoung Kim & Kyungmyung Jang & Jaemin Han, 2020. "Are the Blockchain-Based Patents Sustainable for Increasing Firm Value?," Sustainability, MDPI, vol. 12(5), pages 1-17, February.
    7. Darcy W.E. Allen, 2019. "Entrepreneurial Exit: Developing the Cryptoeconomy," World Scientific Book Chapters, in: Melanie Swan & Jason Potts & Soichiro Takagi & Frank Witte & Paolo Tasca (ed.), Blockchain Economics: Implications of Distributed Ledgers Markets, Communications Networks, and Algorithmic Reality, chapter 10, pages 197-214, World Scientific Publishing Co. Pte. Ltd..
    8. Daim, Tugrul & Lai, Kuei Kuei & Yalcin, Haydar & Alsoubie, Fayez & Kumar, Vimal, 2020. "Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    9. Ahmed Alketbi & Qassim Nasir & Manar Abu Talib, 0. "Novel blockchain reference model for government services: Dubai government case study," 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 1-22.
    10. Ahmed Alketbi & Qassim Nasir & Manar Abu Talib, 2020. "Novel blockchain reference model for government services: Dubai government case study," 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(6), pages 1170-1191, December.
    11. Rahel Mandaroux & Chuanwen Dong & Guodong Li, 2021. "A European Emissions Trading System Powered by Distributed Ledger Technology: An Evaluation Framework," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    12. Adjovu, Charles & Fabian, Ewa, 2020. "Blockchain-mediated Licensing: Legal Engineering for Artist Empowerment," LawArchive kfjxa_v1, Center for Open Science.
    13. G. V. Soni Meera & R. Isaac Sajan, 2026. "A fault-tolerant dynamic graph attention network for energy efficient routing and reliability in wireless sensor networks," Journal of Combinatorial Optimization, Springer, vol. 51(2), pages 1-38, March.
    14. Dung Tien Nguyen & Junseong Choe & Thang Le Duc & Duc Tai Le & Vyacheslav V Zalyubovskiy & Hyunseung Choo, 2016. "Delay-sensitive flooding based on expected path quality in low duty-cycled wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 12(8), pages 15501477166, August.
    15. Luis Fernando López Roca & Mauricio Baquero Herrera & Jorge Armando Corredor Higuera, 2021. "Los mercados financieros ante la disrupción de las nuevas tecnologías digitales," Books, Universidad Externado de Colombia, Facultad de Derecho, number 1324.
    16. Li, Jingming & Li, Nianping & Peng, Jinqing & Cui, Haijiao & Wu, Zhibin, 2019. "Energy consumption of cryptocurrency mining: A study of electricity consumption in mining cryptocurrencies," Energy, Elsevier, vol. 168(C), pages 160-168.
    17. Cali, Umit & Lee, Annabelle & Hayes, Barry & Lima, Claudio & Sebastian-Cardenas, D. Jonathan & Flynn, David & Kantar, Emre & Rahimi, Farrokh & Thu, Kaung Si & Pasetti, Marco & Dynge, Marthe Fogstad & , 2025. "A comprehensive academic and industrial survey of blockchain technology for the energy sector using fuzzy Einstein decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:epw:ejece0:v:5:y:2021:i:6:id:19375. 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: support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejece .

    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.