IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v15y2023i8p259-d1206859.html
   My bibliography  Save this article

Virtual Grid-Based Routing for Query-Driven Wireless Sensor Networks

Author

Listed:
  • Shushant Kumar Jain

    (Amity School of Engineering and Technology, Amity University, Gwalior 474005, India
    Institute of Technlogy and Managment, Gwalior 475001, India)

  • Rinkoo Bhatia

    (Amity School of Engineering and Technology, Amity University, Gwalior 474005, India)

  • Neeraj Shrivastava

    (Rustamji Institute of Technology, BSF Academy, Tekanpur, Gwalior 475005, India)

  • Sharad Salunke

    (Amity School of Engineering and Technology, Amity University, Gwalior 474005, India)

  • Mohammad Farukh Hashmi

    (Department of Electronics and Communication Engineering, National Institute of Technology, Warangal 506004, India)

  • Neeraj Dhanraj Bokde

    (Center for Quantitative Genetics and Genomics, Aarhus University, 8000 Aarhus, Denmark)

Abstract

In the context of query-driven wireless sensor networks (WSNs), a unique scenario arises where sensor nodes are solicited by a base station, also known as a sink, based on specific areas of interest (AoIs). Upon receiving a query, designated sensor nodes are tasked with transmitting their data to the sink. However, the routing of these queries from the sink to the sensor nodes becomes intricate when the sink is mobile. The sink’s movement after issuing a query can potentially disrupt the performance of data delivery. To address these challenges, we have proposed an innovative approach called Query-driven Virtual Grid-based Routing Protocol (VGRQ), aiming to enhance energy efficiency and reduce data delivery delays. In VGRQ, we construct a grid consisting of square-shaped virtual cells, with the number of cells matching the count of sensor nodes. Each cell designates a specific node as the cell header (CH), and these CHs establish connections with each other to form a chain-like structure. This chain serves two primary purposes: sharing the mobile sink’s location information and facilitating the transmission of queries to the AoI as well as data to the sink. By employing the VGRQ approach, we seek to optimize the performance of query-driven WSNs. It enhances energy utilization and reduces data delivery delays. Additionally, VGRQ results in ≈10% and ≈27% improvement in energy consumption when compared with QRRP and QDVGDD, respectively.

Suggested Citation

  • Shushant Kumar Jain & Rinkoo Bhatia & Neeraj Shrivastava & Sharad Salunke & Mohammad Farukh Hashmi & Neeraj Dhanraj Bokde, 2023. "Virtual Grid-Based Routing for Query-Driven Wireless Sensor Networks," Future Internet, MDPI, vol. 15(8), pages 1-13, July.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:8:p:259-:d:1206859
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/15/8/259/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/15/8/259/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rahul Kumar Verma & K. K. Pattanaik & Sourabh Bharti, 2020. "Query similarity index based query preprocessing mechanism for multiapplication sharing wireless sensor networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 74(4), pages 477-485, August.
    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.

      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:jftint:v:15:y:2023:i:8:p:259-:d:1206859. 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.