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

Anagnostopoulos, T., Zaslavsky, A., Ntalianis, K., Anagnostopoulos, C. , Ramson, S. R. J., Shah, P. J., Behdad, S. and Salmon, I. (2021) IoT-enabled tip and swap waste management models for smart cities. International Journal of Environment and Waste Management, 28(4), pp. 521-539. (doi: 10.1504/IJEWM.2021.118862)

Abstract

Current technical advances in sensors, actuators, and wireless networks enable the Internet of Things (IoT) technology. Key features of IoT are the 'smart things, which have significant computational capabilities. In this paper we focus on waste management using dynamic allocation of collection and transfer points with subsequent transporting of waste to processing facilities. Waste management involves a variety of tasks from the collection of the waste in the field to the transport and disposal to the appropriate locations. The proposed waste management system contributes to innovative Smart City (SC) applications with impact in the dynamic allocation management of mobile depots in the SC. We propose a set of models, which advocate for replacing 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. We incorporate the CT, TT, L, D and F quantitative metrics and the S qualitative metric. The S metric takes as input the values of the quantitative metrics and gives an output of high or low satisfaction. The models demonstrate their efficiency and potential adoption by SCs.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Anagnostopoulos, Dr Christos
• Authors: Anagnostopoulos, T., Zaslavsky, A., Ntalianis, K., Anagnostopoulos, C., Ramson, S. R. J., Shah, P. J., Behdad, S., and Salmon, I.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: International Journal of Environment and Waste Management
• Publisher: Inderscience
• ISSN: 1478-9876
• ISSN (Online): 1478-9868
• Published Online: 03 November 2021
• Copyright Holders: Copyright © 2021 Inderscience Enterprises Ltd.
• First Published: First published in International Journal of Environment and Waste Management 28(4):521-539
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher