Subject: sensors, LoRaWAN, TTN, IoT
Year: 2019
Type: Proceeding article
Title: Riemann garbage bin: a self-sustained waste management system
Author: Zelenkovski, Kiril
Author: Karafiloski, Filip
Author: Mishkovski, Igor
Abstract: This 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.
Publisher:
Relation: 16th International Conference for Informatics and Information Technology (CIIT 2019)
Identifier: oai:repository.ukim.mk:20.500.12188/23198
Identifier: http://hdl.handle.net/20.500.12188/23198
