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

被引:0
|
作者
Jain, Shushant Kumar [1 ,2 ]
Bhatia, Rinkoo [1 ]
Shrivastava, Neeraj [3 ]
Salunke, Sharad [1 ]
Hashmi, Mohammad Farukh [4 ]
Bokde, Neeraj Dhanraj [5 ]
机构
[1] Amity Univ, Amity Sch Engn & Technol, Gwalior 474005, India
[2] Inst Technl & Managment, Gwalior 475001, India
[3] Rustamji Inst Technol, BSF Acad, Gwalior 475005, India
[4] Natl Inst Technol, Dept Elect & Commun Engn, Warangal 506004, India
[5] Aarhus Univ, Ctr Quantitat Genet & Genom, DK-8000 Aarhus, Denmark
来源
FUTURE INTERNET | 2023年 / 15卷 / 08期
关键词
wireless sensor networks; mobile sink; grid-based routing; query transmission; DATA DISSEMINATION; PROTOCOL;
D O I
10.3390/fi15080259
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 approximate to 10% and approximate to 27% improvement in energy consumption when compared with QRRP and QDVGDD, respectively.
引用
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页数:13
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