IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i23p3730-d1531066.html
   My bibliography  Save this article

Networking Microcontrollers and Balancing the Load on the Service Servers to Enhance the Fault Tolerance of the IoT Networks

Author

Listed:
  • Sastry Kodanda Rama Jammalamadaka

    (Department of IoT, K L Deemed to be University, Vaddeswaram, Guntur 522502, India)

  • Bhupati Chokra

    (Department of IoT, K L Deemed to be University, Vaddeswaram, Guntur 522502, India)

  • Sasi Bhanu Jammalamadaka

    (Department of Computer Science, CMR College of Engineering and Technology, Hyderabad 501401, India)

  • Balakrishna Kamesh Duvvuri

    (Department of Computer Science, MLR Institute of Technology, Hyderabad 500043, India)

Abstract

Different types of faults occur in different layers of IoT networks, which affect their fault tolerance. The Controller and Services layers are the weakest links in an IoT network, and any failure in these layers drastically reduces its fault tolerance. The flow of transactions in these layers is also very heavy, requiring load balancing. The major challenge is to retain the maximum Fault tolerance of the IoT network in the presence of failures and varying load conditions in these Layers. This paper proposes a combination of Embedded system networking and a specialised networking of microcontrollers with Service Servers, and a Middleware within the Microcontrollers for load-balancing transactions in different communication paths. These implementations help retain the highest fault tolerance of the IoT network. The fault tolerance of an IoT is improved by 8% due to these proposed implementations.

Suggested Citation

  • Sastry Kodanda Rama Jammalamadaka & Bhupati Chokra & Sasi Bhanu Jammalamadaka & Balakrishna Kamesh Duvvuri, 2024. "Networking Microcontrollers and Balancing the Load on the Service Servers to Enhance the Fault Tolerance of the IoT Networks," Mathematics, MDPI, vol. 12(23), pages 1-14, November.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:23:p:3730-:d:1531066
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/23/3730/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/23/3730/
    Download Restriction: no
    ---><---

    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:jmathe:v:12:y:2024:i:23:p:3730-:d:1531066. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.