Supporting data communications in IoT-enabled waste management
Authors: Anagnostopoulos, Theodoros 
Fedchenkov, Petr 
Medvedev, Alexey 
Sosunova, Inna 
Sadov, Oleg 
Zaslavsky, Arkady 
Issue Date: 1-Aug-2017
Conference: 17th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2017, the 10th Conference on Internet of Things and Smart Spaces, ruSMART 2017, 28-30 August 2017, St. Petersburg, Russia 
Book: Internet of Things, Smart Spaces, and Next Generation Networks and Systems: Proceedings of the 17th International Conference, NEW2AN 2017, 10th Conference, ruSMART 2017, Third Workshop NsCC 2017 
Series: Lecture Notes in Computer Science
Keywords: Internet of Things (IoT), LoRaWAN, Smart cities, Waste collection
Abstract: 
The Internet of Things (IoT) enables Smart Cities with novel services. Such services demand low power, high throughput and low-cost sensor data collection technologies. The number of devices, their variety, the breadth of their distribution, and the number of standards are continuously increasing. In this paper, we explore and critically analyze emerging IoT communication technologies. LoRaWAN has been selected for deployment in the smart waste management system (SWM) for collecting data from smart garbage bins. The paper proposes an architecture for SWM data collection and delivery as part of St. Petersburg pilot of Horizon-2020 bIoTope project. Extensive experiments with actual sensors and smart garbage bins were conducted for stress-testing the LoRaWAN technology, analyzing data rates and power consumption. The paper concludes with lessons learned and LoRaWAN wider deployment feasibility and improvements discussion.
ISBN: 978-3-319-67380-6
ISSN: 1611-3349
0302-9743
DOI: 10.1007/978-3-319-67380-6_15
URI: https://uniwacris.uniwa.gr/handle/3000/2712
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

CORE Recommender
Show full item record

SCOPUSTM   
Citations

4
checked on Nov 20, 2024

Page view(s)

19
checked on Nov 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.