Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/23198
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dc.contributor.authorZelenkovski, Kirilen_US
dc.contributor.authorKarafiloski, Filipen_US
dc.contributor.authorMishkovski, Igoren_US
dc.date.accessioned2022-09-29T12:23:05Z-
dc.date.available2022-09-29T12:23:05Z-
dc.date.issued2019-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/23198-
dc.description.abstractThis paper elaborates the idea for building a selfsustained sensor system, a network composed of nodes implementing the Riemann Garbage Bin (RGB) model. Hence, the case study explores the potential of employing sensor enabled systems to improve on waste monitoring and management in public waste bins. The network consists of wireless nodes that use ultrasonic sensors to measure the empty space in the bins. The sensors periodically report the fill rate of the waste bins to a sensor gateway that is based on Long Rage Wide Area Network (LoRaWAN) protocol. For our LoRaWAN server and network cover we choose to use The Things Network (TTN). These fill rates would be monitored by a mobile or web application connected to the network server. The goal of this project is through the Internet of Things (IoT) to monitor all the waste bins in one city, to improve the garbage management by relocating resources and by giving insight to the public about this global health threating problem.en_US
dc.subjectsensors, LoRaWAN, TTN, IoTen_US
dc.titleRiemann garbage bin: a self-sustained waste management systemen_US
dc.typeProceeding articleen_US
dc.relation.conference16th International Conference for Informatics and Information Technology (CIIT 2019)en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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