Abstract
In metropolitan areas drainage has a significant role for the prevention of damages due to floods. The structure currently used for drainage is not found to be technologically advanced. Hence, in case of a blockage there is difficulty in narrowing down the precise location of the blockage. Additionally, immediate alerts of the blockage are not communicated which in turn causes the detection and repair of blocks to be tedious. In order to find a solution to the issue of open sewerage system, the underground drainage system was maintained in multiple cities for health and sanitation reasons. The architecture included controlling manholes via the Internet. This existing system failed to cater with reduced cost and maintenance and rapid distribution and also included multiple sensors, but did not have a long lifetime, nor did it provide increased quality of service (QoS). This project takes into consideration addresses all automated Internet of Things (IoT) for Underground Drainage phases for reasonable improvement of an Underground Drainage Management System (UDMS) using operations of IoT for urban areas. Different areas for the performance of sensor networks studied are platform design, resilience, expanded usage of the sensor nodes in addition to the communication, restoration of failure in the nodes and transmission, increased service availability, accurate functioning of server applications, and assimilation with IoT functions.
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Madhumathy, P., Prasad, S.B. (2022). Design of a WSN Platform for Internet of Things Applications. In: Rani, S., Sai, V., Maheswar, R. (eds) IoT and WSN based Smart Cities: A Machine Learning Perspective. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-84182-9_11
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DOI: https://doi.org/10.1007/978-3-030-84182-9_11
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