The water leakage detection on pipelines has improved with the advent of remote environmental wireless sensor network (WSN) and Internet of Things (IoT) technologies over the past few years. Leakage detection in underground water pipelines involves algorithms to predict leakage and estimate its location, in which accuracy depends significantly on the distance between the water meters stationed at district water stations. This research proposes to deploy smart wireless water meter nodes at intermediate distances to enhance the accuracy sharply. This requires water meters to operate autonomously, harvesting energy from surroundings, to be self-sufficient. This research proposes a heterogeneous communication with smart water meters that focuses on transferring data and reducing energy consumption by establishing communication with wireless sensor nodes for smart water meter applications.
CITATION STYLE
Athinarayanan, H. P., & Selvam, M. (2023). Multi Energy-Harvesting Smart Water Meter Design for Underground Water Pipeline Leakage Detection. In Lecture Notes in Networks and Systems (Vol. 672 LNNS, pp. 95–111). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1624-5_7
Mendeley helps you to discover research relevant for your work.