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

Author:

Jain Shushant Kumar12,Bhatia Rinkoo1,Shrivastava Neeraj3,Salunke Sharad1ORCID,Hashmi Mohammad Farukh4ORCID,Bokde Neeraj Dhanraj5

Affiliation:

1. Amity School of Engineering and Technology, Amity University, Madhya Pradesh, Gwalior 474005, India

2. Institute of Technlogy and Managment, Gwalior 475001, India

3. Rustamji Institute of Technology, BSF Academy, Tekanpur, Gwalior 475005, India

4. Department of Electronics and Communication Engineering, National Institute of Technology, Warangal 506004, India

5. 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.

Publisher

MDPI AG

Subject

Computer Networks and Communications

Reference28 articles.

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2. Verma, R.K., Pattanaik, K.K., Dissanayake, P.B.R., Dammika, A.J., Buddika, H.A.D.S., and Kaloop, M.R. (2020). Damage Detection in Bridge Structures: An Edge Computing Approach. arXiv.

3. Design and Implementation of Intrusion Detection Systems using RPL and AOVD Protocols-based Wireless Sensor Networks;Kipongo;Int. J. Electron. Telecommun.,2023

4. Query similarity index based query preprocessing mechanism for multiapplication sharing wireless sensor networks;Verma;Telecommun. Syst.,2020

5. A Query Processing Framework for Efficient Network Resource Utilization in Shared Sensor Networks;Verma;ACM Trans. Sen. Netw.,2020

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