Title: IoT-enabled tip and swap waste management models for smart cities

Authors: Theodoros Anagnostopoulos; Arkady Zaslavsky; Klimis Ntalianis; Christos Anagnostopoulos; S.R. Jino Ramson; Parth Jatinkumar Shah; Sara Behdad; Ioannis Salmon

Addresses: Department of Business Administration, University of West Attica, Athens, Greece; Department of Infocommunication Technologies, ITMO University, St. Petersburg, Russia ' School of Information Technology, Deakin University, Melbourne, Australia; Department of Infocommunication Technologies, ITMO University, St. Petersburg, Russia ' Department of Business Administration, University of West Attica, Athens, Greece ' School of Computing Science, University of Glasgow, Glasgow, UK ' School of Engineering Technology, Purdue University,West Lafayette, Indiana, USA ' School of Engineering and Applied Sciences, University at Buffalo, New York, USA ' School of Engineering and Applied Sciences, University at Buffalo, New York, USA ' Department of Business Administration, University of West Attica, Athens, Greece

Abstract: Current technical advances enable internet of things (IoT) technology. Key features of IoT are 'smart things', which have computational capabilities. In this paper, we focus on waste management using dynamic allocation of collection and transfer points to transport waste to processing facilities. Waste management involves a variety of tasks from collection of waste to transport and disposal to appropriate locations. The proposed waste management system contributes to smart city (SC) applications with impact in the dynamic allocation management of mobile depots. We propose certain models, which replace traditional way of tipping waste into larger containers by swapping full waste bins with empty ones. We also propose the concept of mobile depots as intermediate collection and transfer points. Quantitative and qualitative metrics to assess the efficiency of the proposed models are used. The models demonstrate their efficiency and potential adoption by SCs.

Keywords: smart cities; internet of things; IoT; tip models; swap models; waste management system; WMS.

DOI: 10.1504/IJEWM.2021.10042472

International Journal of Environment and Waste Management, 2021 Vol.28 No.4, pp.521 - 539

Received: 27 Aug 2019
Accepted: 08 Jan 2020

Published online: 03 Nov 2021 *

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