{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T22:15:27Z","timestamp":1775859327806,"version":"3.50.1"},"reference-count":32,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2019,1,10]],"date-time":"2019-01-10T00:00:00Z","timestamp":1547078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Critical wastewater events such as sewer main blockages or overflows are often not detected until after the fact. These events can be costly, from both an environmental impact and monetary standpoint. A standalone, portable radar device allowing non-invasive benchmarking of sewer pumping station (SPS) pumps is presented. Further, by configuring and deploying a complete Low Power Wide Area Network (LPWAN), Shoalhaven Water (SW) now has the opportunity to create \u201cInternet of Things\u201d (IoT)-capable devices that offer freedom from the reliance on mobile network providers, whilst avoiding congestion on the existing Supervisory Control and Data Acquisition (SCADA) telemetry backbone. This network infrastructure allows for devices capable of real-time monitoring to alert of any system failures, providing an effective tool to proactively capture the current state of the sewer network between the much larger SPSs. This paper presents novel solutions to improve the current wastewater network management procedures employed by SW. This paper also offers a complete review of wastewater monitoring networks and is one of the first to offer robust testing of Long Range Wide Area Network (LoRaWAN) network capabilities in Australia. The paper also provides a comprehensive summary of the LoRa protocol and all its functions. It was found that a LPWAN, utilising the LoRaWAN protocol and deployed appropriately within a geographic area, can attain maximum transmission distances of 20 km within an urban environment and up to 35 km line of sight.<\/jats:p>","DOI":"10.3390\/s19020254","type":"journal-article","created":{"date-parts":[[2019,1,11]],"date-time":"2019-01-11T04:10:16Z","timestamp":1547179816000},"page":"254","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Implementation of an IoT Based Radar Sensor Network for Wastewater Management"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4528-7749","authenticated-orcid":false,"given":"Adam","family":"Drenoyanis","sequence":"first","affiliation":[{"name":"School of Electrical, Computer and Telecommunications Engineering (SECTE), University of Wollongong (UOW), Wollongong 2522, NSW, Australia"},{"name":"Shoalhaven Water, Shoalhaven City Council, Nowra 2541, NSW, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2347-4837","authenticated-orcid":false,"given":"Raad","family":"Raad","sequence":"additional","affiliation":[{"name":"School of Electrical, Computer and Telecommunications Engineering (SECTE), University of Wollongong (UOW), Wollongong 2522, NSW, Australia"}]},{"given":"Ivan","family":"Wady","sequence":"additional","affiliation":[{"name":"Shoalhaven Water, Shoalhaven City Council, Nowra 2541, NSW, Australia"}]},{"given":"Carmel","family":"Krogh","sequence":"additional","affiliation":[{"name":"Shoalhaven Water, Shoalhaven City Council, Nowra 2541, NSW, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1109\/21.21606","article-title":"Modelling and control of sewer flow for reduced cost operation of a sewage pumping station","volume":"18","author":"Tan","year":"1999","journal-title":"IEEE Trans. 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