IoT-Based Smart Waste Bin Monitoring and Municipal Solid Waste Management System for Smart Cities

Ali, Tariq; Irfan, Muhammad; Alwadie, Abdullah; Głowacz, Adam

doi:10.1007/s13369-020-04637-w

Cited by 127 publications

(39 citation statements)

References 27 publications

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“…Waste management is another identified subarea. It is one of the biggest challenges facing modern cities due to dynamic urbanisation, excessive consumption of goods, ineffective waste management systems and mechanisms (collection, selection, collection, disposal and recycling), and low use of modern technologies (Ali et al, 2020). Smart waste management systems are based on the use of different sensors (e.g., weight, pressure, temperature) that allow monitoring of the fill level of waste containers in real-time.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

IoT-based smart cities: a bibliometric analysis and literature review

Szum

2021

Engineering Management in Production and Services

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Modern cities face many challenges related to globalisation, metropolisation and digitalisation. The smart city concept, which has been gaining popularity in recent years, is considered an answer to their needs. One of the paradigms of modern smart cities is the Internet of Things. This article aims to identify the main research directions and trends in the scientific literature in the field of Internet-of-Things-based smart cities. The author of the paper conducted a bibliometric analysis of publications from 2012–2021, collected from the Web of Science, Scopus and IEEE Xplore databases. The methodology includes: (i) the selection of databases and key words, (ii) defining search criteria, (iii) data export, creation of an aggregate database and record selection, and (iv) the analysis of the results and identification of the major research trends. The study involved 1019 publications. The last stage of the research process identified the leading countries, institutions, journals, and authors in terms of publication activity, as well as the most frequently occurring terms. The key word analysis allowed identifying five main research directions: IoT application domains in smart cities, IoT architecture for smart cities, energy, security and privacy and data. Within each area, the main research themes have been identified, and selected publications have been reviewed.

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Section: Discussion Of Resultsmentioning

confidence: 99%

IoT-based smart cities: a bibliometric analysis and literature review

Szum

2021

Engineering Management in Production and Services

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“…Waste collection in smart cities is a daily activity that involves truck route planning and optimization while considering environmental and socioeconomic factors. The routes planning for collecting smart cities waste is affected by several parameters such as traffic jams, fuel costs, amount of waste collected per route, and the number of trucks available along with their capacity [39,53,54]. The route planning on the basis of a centralized-based system can be ineffective or costly since data can be compromised or tampered with.…”

Section: F Transparency In Waste Collection and Trucks Route Optimizationmentioning

confidence: 99%

Blockchain for Waste Management in Smart Cities: A Survey

Ahmad¹,

Salah²,

Jayaraman³

et al. 2021

Preprint

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Smart cities have the potential to overcome environmental problems caused by improper waste disposal to improve human health, protect the aquatic ecosystem, and reduce air pollution. However, today's systems, approaches, and technologies leveraged for waste management are manual and centralized that make them vulnerable to manipulation and the single point of failure problem. Also, a large portion of the existing waste management systems within smart cities fall short in providing operational transparency, traceability, audit, security, and trusted data provenance features. In this paper, we explore the key role of blockchain technology in managing waste within smart cities as it can offer traceability, immutability, transparency, and audit features in a decentralized, trusted, and secure manner. We discuss the opportunities brought about by blockchain technology in various waste management use cases and application scenarios, including real-time tracing and tracking of waste, reliable channelization and compliance with waste treatment laws, efficient waste resources management, protection of waste management documentation, and fleet management. We introduce a framework that leverages blockchain-based smart contracts to automate the key services in terms of waste management of smart cities. We compare the existing blockchain-based waste management solutions based on important parameters. Furthermore, we present insightful discussions on several ongoing blockchain-based research projects and case studies to highlight the practicability of blockchain in waste management. Finally, we present open challenges that act as future research directions.

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“…For instance, lignocellulose waste could be used for making cost-effective biofuel and value-added products (An et al 2021;Leeabai et al 2021). As observed by Ali et al (2020) that the migration of people towards big cities and the absence of a smart technology system in managing waste makes this issue even more challenging to be fixed. In the present era of advanced technology and swift communication through machines, a well-organized solid waste management system is still missing, though it is a need of time to introduce a smart waste management system (Zeb et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Spatial Distribution of Waste Bins in Karachi Through GIS Techniques

Afzal

Afsar

Lahori

et al. 2021

IJEEG

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Karachi has been facing various issues of municipal solid waste management. In the early 1960s, Karachi was the centre of leisure, now it has stretched out due to its increasing population. However, due to insufficient facilities and ineffective strategies, issues related to waste management are also increasing. For the problems related to waste management, the fundamental units available are municipal trash bins. In this study, 409 GPS point data of collection points of waste have been assembled from various areas of Karachi for assessment of the spatial distribution of waste bins. A spatial variation of distance between the trash bins is also identified through ArcGIS 10.3.1 cartography tool of generalization, which aggregates the points of trash bins by making polygon shape of the same distance. Globally, Geospatial techniques are used for changing the system of waste management. This is the first study that assessed the suitable distance of bins placement in the area under focus. The results revealed that there are no principles acquired by the government for the placement of trash bins with appropriate distance. In many towns of Karachi like Landhi and Korangi, bins are absent which impels people to throw their trash anywhere in the city

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IoT-Based Smart Waste Bin Monitoring and Municipal Solid Waste Management System for Smart Cities

Cited by 127 publications

References 27 publications

IoT-based smart cities: a bibliometric analysis and literature review

IoT-based smart cities: a bibliometric analysis and literature review

Blockchain for Waste Management in Smart Cities: A Survey

Assessment of Spatial Distribution of Waste Bins in Karachi Through GIS Techniques

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