Dublin Core
Title
Nature-inspired search method for IoT-based water leakage location detection system
Creator
Emmanuel Freeman, Daniel Ayitey Quaye, Israel Edem Agbehadji, Richard C Millham
Description
Detecting water leakage and reporting the leakage timely is one of the challenges faced by water distributing companies in developing nations. This paper employs a nature-inspired search method for optimal location search to water leakage sources for Ghana Water and Sewage Services Company. The nature-inspired method aid in mapping IoT-edge computing devices used by the water and sewage workers, especially in the cities and urban areas, to find and locate leaked pipelines. Once, a water and sewage worker receive a trigger from any location that there are leakages, the algorithm generates the location data which automatically processes the distance, geographic location, and direction. In this paper, a nature-inspired algorithm based on the behaviour of a Kestrel bird was used as the mapping function. The developed algorithm was tested and evaluated using pre-defined and random locations based …
Publisher
IEEE
Date
2020
Source
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&citation_for_view=rQvaaoMAAAAJ:Se3iqnhoufwC
Language
English