IoT-Based Smart Waste Management System in a Smart City

Abdullah, Nibras; Al-wesabi, Ola A.; Abdullah, Rosni

doi:10.1007/978-3-319-99007-1_35

Cited by 54 publications

(31 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e technology reduces travel distance significantly as compared to the previous approach, resulting in a more efficient garbage collecting procedure and lower costs [19]. Finally, the authors think that their work has contributed to waste management since it is a valuable tool for technical personnel who may develop and enhance a town's garbage collecting system [20][21][22]. e authors suggested a unique municipal solid waste (MSW) collection optimization model based on the actual real-world trash-collecting scenario in Sfax and then used the new innovative routing method for MSW collection.…”

Section: Literature Reviewmentioning

confidence: 96%

[Retracted] Machine Learning and IoT‐Based Waste Management Model

Khan

Kumar

Srivastava³

et al. 2021

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

A rapid rise in inhabitants across the globe has led to the inadmissible management of waste in various countries, giving rise to various health issues and environmental pollution. The waste-collecting trucks collect waste just once or twice in seven days. Due to improper waste collection practices, the waste in the dustbin is spread on the streets. Thus, to defeat this situation, an efficient solution for smart and effective waste management using machine learning (ML) and the Internet of Things (IoT) is proposed in this paper. In the proposed solution, the authors have used an Arduino UNO microcontroller, ultrasonic sensor, and moisture sensor. Using image processing, one can measure the waste index of a particular dumping ground. A hardware prototype is also developed for the proposed framework. Thus, the presented solution for the efficient management of waste accomplishes the aim of establishing clean and pollution-free cities.

show abstract

Section: Literature Reviewmentioning

confidence: 96%

[Retracted] Machine Learning and IoT‐Based Waste Management Model

Khan

Kumar

Srivastava³

et al. 2021

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…As an example, as shown in Figure 9, the municipality can optimize the waste harvesting service, balancing resources (i) in the presence of unplanned events (e.g., fairs, music concerts, etc. ), (ii) during time slots that less affect the community, and (iii) only emptying baskets that are effectively full [44,45]. Moreover, this improved waste harvesting service, aided by IoT-oriented solutions, can be applied directly on the waste bins, as well as exploiting optical technologies to determine the amount of waste poured into the bins by estimating the waste's volume and, based on the target bin, its overall volume.…”

Section: Waste Managementmentioning

confidence: 99%

IoT-Enabled Smart Sustainable Cities: Challenges and Approaches

et al. 2020

View full text Add to dashboard Cite

The ongoing diffusion of Internet of Things (IoT) technologies is opening new possibilities, and one of the most remarkable applications is associated with the smart city paradigm, which is continuously evolving. In general, it can be defined as the integration of IoT and Information Communication Technologies (ICT) into city management, with the aim of addressing the exponential growth of urbanization and population, thus significantly increasing people’s quality of life. The smart city paradigm is also strictly connected to sustainability aspects, taking into account, for example, the reduction of environmental impact of urban activities, the optimized management of energy resources, and the design of innovative services and solution for citizens. Abiding by this new paradigm, several cities started a process of strong innovation in different fields (such as mobility and transportation, industry, health, tourism, and education), thanks to significant investments provided by stakeholders and the European Commission (EC). In this paper, we analyze key aspects of an IoT infrastructure for smart cities, outlining the innovations implemented in the city of Parma (Emilia Romagna region, Italy) as a successful example. Special attention is dedicated to the theme of smart urban mobility.

show abstract

“…One of the points common for smart and sustainable cities is waste management. Some researchers, for example [21], suppose it to be the most important problem of the Smart City. It allows solving such issues such as emissions, rational use of energy, production of energy from alternative sources, changing the urban environment in general, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Decision-Making within Smart City: Waste Sorting

Popova

Sproģe

2021

Sustainability

View full text Add to dashboard Cite

The concept of the Smart City is the answer for the majority of the challenges of an increased rate of urbanization. However, the implementation of the ideas of the Smart City faces some difficulties. It is a necessity to correspond to the sustainability pillars and the decisive role of the population in all processes, and correspondently the necessity to comprehend what factors influence the decision-making process. The research goal of this paper is to analyze the factors determining the decision of the population of multi- and one-family houses to sort waste. The data were collected via population survey of the Vidusdaugavas region of Latvia and semi-structured interviews of municipal councils’ representatives. Both parties—population and authorities—have mentioned the existence of more negative factors of waste sorting in their life than positive ones. For authorities, the most important externalities of waste sorting have an economic nature, while, for citizens, the factors of convenience are not less important than costs. The problem was considered from the position of municipal authorities and the local population, and the identification of problems and misunderstanding is a possibility to start effective communication between the two parties. Moreover, the analysis of the literature has shown that Scandinavian countries and west European countries, which started their way towards implementing smart sustainable cities significantly earlier than Latvia, had the same stages. The most important factor for constructing a smart sustainable city is the changing the way of thinking of population.

show abstract

IoT-Based Smart Waste Management System in a Smart City

Cited by 54 publications

References 15 publications

[Retracted] Machine Learning and IoT‐Based Waste Management Model

[Retracted] Machine Learning and IoT‐Based Waste Management Model

IoT-Enabled Smart Sustainable Cities: Challenges and Approaches

Decision-Making within Smart City: Waste Sorting

Contact Info

Product

Resources

About