Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2809
Title: A System to Notify Real-Time Radio Signal Failures and Predict the Possibility of Failures - LOST TRANSMISSION
Authors: Sumithraarachchi, G
Ahamed, R
Vithana, N
Keywords: Radio Signal Failure
Iot
Machine Learning
Logistic Regression
Nodemcu Esp32
Mobile App
Issue Date: 31-Mar-2022
Publisher: University Of Bahrain
Series/Report no.: International Journal of Computing and Digital Systems;11, No.1
Abstract: The focal point of this work was to build a troubleshooting mobile application, which provides an alert notification when RT (Radio Transmission) failures happen at radio outstations and enables predicting the possibilities of radio signal failures based on weather components. The current radio signal failure notifying process is being done half-manual at most of the radio stations while not providing immediate notifications to the radio station staff. A cloud platform, IoT (Internet of Things) technology, and machine learning technique are combined with the aforementioned system to provide fast service to the radio station end-users. The IoT-based Wi-Fi module distinguishes RT failures of each outstation. When weather data is detected, the predictive model displays the possibilities of radio signal failures. The cloud-based functionalities push instant notifications which make the system highly reliable. A key benefit of this system is that even though the users are out of the radio station, the system will be one notification away from the users to notify sudden RT failures.
URI: http://rda.sliit.lk/handle/123456789/2809
ISSN: (2210-142X
Appears in Collections:Research Papers - Open Access Research
Research Publications -Dept of Information Technology

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