Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
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Article Number | 01148 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/matecconf/202439201148 | |
Published online | 18 March 2024 |
Novel methods in utilizing wireless sensor networks with blockchain technology: A review
Department of Information technology Chaitanya Bharathi Institute of Technology Hyderabad, India
* Corresponding author: gmbhargavi10@gmail.com
Wireless Sensor Networks (WSNs) play a vital role in achieving quick and efficient results. These networks comprise small, affordable sensors that collect valuable data from their surroundings. The core objective of this project is to optimize the pathways for data transmission, improve communication among sensor nodes, and filter out irrelevant or erroneous data prior to sending it to the central station. This project introduces a new method by implementing blockchain intelligence, which stores and provides optimal data transmission routes. This empowers sensor nodes to identify the most efficient paths for data sharing, eliminating unnecessary routes. Additionally, the blockchain acts as a filter, ensuring that only relevant data is transmitted to the central station. This approach not only saves time by streamlining data routes but also secures data security through the validity of blockchain technology. Furthermore, increases data quality by discarding unnecessary information. This project showcases a smart solution that tackles common WSN challenges, promising to elevate technological capabilities for a variety of applications.
Key words: Blockchain Intelligence / Optimization / Data Quality / Data Security / Data Transmission / Wireless Sensor Networks.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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