Blockchain-enabled RF Radiation Exposure Level Measurements in Wireless Mobile Networks
- Gunatilake A.A.P.I. – EG/2018/3333
- Madawalage D.M.K.N.V. – EG/2018/3382
- Thalgahagoda R.W.P.K.T.D. – EG/2018/3473
- Dr. W. N. B. A. G. Priyankara (Supervisor)
- Dr. Chatura Seneviratne (Co-Supervisor)
Abstract:
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’s 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’ 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.
Key Words: RF Radiation Detection, Blockchain, Grid-Based Clustering, RANSAC Method.
Overview
The rate of human deaths due to different cancers increases exponentially in Sri Lanka. However, no apparent reason is identified for the increasing number of cancer patients. The scientists dought different reasons such as increasing the use of in- stead foods, low-quality plastic food containers, solar radiation, high radiofrequency (RF) radiation exposure, and various other reasons. Therefore, many research works have been conducted in this area during the past few decades. This research tries to identify areas and timeframes where harmful RF radiation is deployed by utilizing a state-of-the-art technology named blockchain.
Blockchain technology is a distributed ledger system that can be used to maintain a time-stamped series of immutable records of data by a cluster of computers not owned by a single entity. Therefore, Blockchain technology provides the required decen- tralization, transparency, immutability, and secure automated updation for records required in the network. Even though preliminary frameworks for spectrum manage- ment have been proposed utilizing blockchain in the literature, this is the first work utilizing a blockchain-based approach for spectral power misuse detection. In this project, we aim to measure the RF radiation in densely populated areas and implement a blockchain-based spectral power misuse detection mechanism over mobile networks to get harmful RF radiation alerts through the android app. Here, we need to develop a novel consensus algorithm that can operate on mobile edge devices to identify the harmful RF radiation compared with permissible levels. We consider the computational complexity, latency, and security as the key performance matrices in determining the suitability of the consensus algorithm. Furthermore, an android mobile application is developed to inform mobile users about harmful RF radiation exposure. Moreover, we develop smart contracts to generate RF radiation patterns of a given area that can utilize by the telecommunication regulators.
Project Contacts: dmknivinviraj@gmail.com, td.thalgahagoda@gmail.com, inushigunatilake6@gmail.com, geeth@eie.ruh.ac.lk, and chatura@eie.ruh.ac.lk
Publications
- Geeth Priyankara, Moyura M.L , Dayarathna W.C.N , Narangoda N.P.P, “A Smart Scheduler for Combining Wi-Fi and Mobile Data for Improved Internet Speed”, Academic Sessions and Vice Chancellor’s Awards Ceremony, University of Ruhuna, 2024.