Blockchain-Enabled RF Radiation Exposure Level Measurement in Wireless Mobile Networks

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. Despite the country's growing number of cancer cases, no apparent cause has been identified. This research aims to identify areas exposed to harmful RF radiation levels through the innovative application of blockchain technology. The 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. In this system, the collected data is first clustered and then aggregated after removing potential “outlier” data points, before adding the data to the blockchain. These two steps are important to increase the performance of the blockchain network, which is evaluated based on performance metrics, including success rate, latency, throughput, and memory usage of the blockchain. The data is analyzed in the blockchain network to detect if there are harmful signal levels in the country and to alert the users if there are any.