{"id":59510,"date":"2024-05-29T00:05:11","date_gmt":"2024-05-28T18:35:11","guid":{"rendered":"https:\/\/www.eng.ruh.ac.lk\/deie\/?post_type=dt_portfolio&p=59510"},"modified":"2024-05-30T11:57:41","modified_gmt":"2024-05-30T06:27:41","slug":"blockchain-enabled-rf-radiation-exposure-level-measurements-in-wireless-mobile-networks","status":"publish","type":"dt_portfolio","link":"https:\/\/www.eng.ruh.ac.lk\/deie\/project\/blockchain-enabled-rf-radiation-exposure-level-measurements-in-wireless-mobile-networks\/","title":{"rendered":"Blockchain-enabled RF Radiation Exposure Level Measurements in Wireless Mobile Networks"},"content":{"rendered":"

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Blockchain-enabled RF Radiation Exposure Level Measurements in Wireless Mobile Networks<\/h3><\/div><\/div>[vc_column_text css=”.vc_custom_1716916066143{margin-bottom: 30px !important;border-left-width: 3px !important;padding-left: 20px !important;border-left-color: rgba(0,0,0,0.1) !important;border-left-style: solid !important;}”]<\/p>\n
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  • Gunatilake A.A.P.I. – EG\/2018\/3333<\/li>\n
  • Madawalage D.M.K.N.V. – EG\/2018\/3382<\/li>\n
  • Thalgahagoda R.W.P.K.T.D. – EG\/2018\/3473<\/li>\n
  • Dr. W. N. B. A. G. Priyankara (Supervisor)<\/li>\n
  • Dr. Chatura Seneviratne (Co-Supervisor)<\/li>\n<\/ul>\n

    [\/vc_column_text][vc_column_text]Abstract:<\/strong><\/p>\n

    The expansion of telecommunication providers and their efforts to expand network coverage in Sri Lanka has led to an alarming increase in Radio Frequency (RF) radiation exposure. This heightened exposure has raised concerns about its potential adverse effects on human health, including infertility, cancer, crib death, and DNA damage, particularly in fetuses and infants. Despite the country\u2019s growing number of cancer cases, no apparent cause has been identified. This project aims to identify areas exposed to harmful RF radiation levels through the innovative application of blockchain technology. Our methodology involves measuring RF radiation in densely populated locations and implementing a blockchain-based spectral power misuse detection system via mobile networks. This system notifies users of harmful RF radiation exposure through an Android app. To simplify the process of the blockchain and to make the process more efficient a clustering method and an aggregation method are included. A consensus algorithm ensures the ledgers\u2019 consistency among all the blockchain peers. Our evaluation of the consensus algorithm focuses on performance metrics, including computational complexity, latency, and throughput. Additionally, smart contracts have been created to generate RF radiation patterns specific to particular areas, which telecommunication regulators can utilize to manage and regulate RF radiation effectively.<\/p>\n

    Key Words: <\/strong>RF Radiation Detection, Blockchain, Grid-Based Clustering, RANSAC Method.[\/vc_column_text]