Waste Management as an IoT-Enabled Service in Smart Cities

Medvedev, Alexey; Fedchenkov, Petr; Zaslavsky, Arkady; Anagnostopoulos, Theodoros; Khoruzhnikov, Sergey

doi:10.1007/978-3-319-23126-6_10

Cited by 156 publications

(62 citation statements)

References 17 publications

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“…The collected data is being transmitted to the Cloud so that waste management companies can do analysis, predicting and optimization actions [41,42]. For instance, the optimization of container collection times can be achieved based on the sensor data that contains information about waste level.…”

Section: Big Data Contribution In Making Cities Smarter and Sustainablementioning

confidence: 99%

The Role of Green Internet of Things (G-IoT) and Big Data in Making Cities Smarter, Safer and More Sustainable

Maksimović¹

2017

IJCDS

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Abstract:The world population growth and increased demands for limited goods consequently imply the necessity for more efficient use of materials and resources. As the novel advances in Information and Communication Technology (ICT) have totally revolutionized the numerous areas, their utilization at the same time possesses a negative influence on the human health and the environment. For that reason, the society is going toward the greener future where the usage of raw and non-renewable materials and resources will be reduced while energy consumption and pollution will be decreased. As ICT can be considered as a tool for addressing environmental problems, Green Internet of Things (G-IoT) takes one of the most important roles on the way to create a green and sustainable place for living. Big data analysis is essential in achieving valuable insights from voluminous and various GIoT generated data. The obtained knowledge enables easier decision-making, forecasting and other activities regarding smart city services, and in return contributes to a continuous improvement of G-IoT technologies. Hence, even the vision of smart and sustainable cities has already become a reality, the G-IoT approaches and insights achieved from Big data analysis will make cities significantly smarter, safer and more sustainable. This paper tries to summarize the role of novel technology advancements and Big data' achievements in the process of creating cities where the quality of life will be enhanced alongside reduced pollution and more efficient utilization of goods. It has been shown that G-IoT and Big data operating symbiotically successfully contribute to the fruition of smart and sustainable city vision.

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Section: Big Data Contribution In Making Cities Smarter and Sustainablementioning

confidence: 99%

The Role of Green Internet of Things (G-IoT) and Big Data in Making Cities Smarter, Safer and More Sustainable

Maksimović¹

2017

IJCDS

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“…Meanwhile, Catania and Ventura [6] proposed smart waste collection by using smart-M3 platform to improve and optimize the handling of solid urban waste by introduce 'green points' for encouraging citizens to recycle. On the other hand, Medvedev et., al [7] IoT components such as RFIDs, sensors, cameras and actuators for efficient waste collection by proposed Decision Support Syste (DSS) for efficient waste collection in Smart Cities. The system handles ineffective waste collection by incorporates a model for data staring between truck drivers on real time and dynamic route optimization.…”

Section: Garbage Monitoring Systemmentioning

confidence: 99%

Smart Bin: Internet-of-Things Garbage Monitoring System

Mustafa

Azir

2017

MATEC Web Conf.

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Abstract. This work introduces the design and development of smart green environment of garbage monitoring system by measuring the garbage level in real time and to alert the municipality where never the bin is full based on the types of garbage. The proposed system consisted the ultrasonic sensors which measure the garbage level, an ARM microcontroller which controls system operation whereas everything will be connected to ThingSpeak. This work demonstrates a system that allows the waste management to monitor based on the level of the garbage depth inside the dustbin. The system shows the status of different four types of garbage; domestic waste, paper, glass and plastic through LCD and ThingSpeak in a real time to store the data for future use and analysis, such as prediction of peak level of garbage bin fullness. It is expected that this system can create greener environment by monitoring and controlling the collection of garbage smartly through Internet-of-Things.

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“…In [6], authors emphasize that "an efficient, cost effective and environment friendly solution for real time bin status monitoring, collection and transportation of municipal solid waste is still a major challenge to the local municipal authorities" and propose a theoretical model using rule based decision algorithms. In [35], a support system that combines IoT technologies and surveillance systems is proposed, with the goal of improving the efficiency of collection routines. Cavdar et al further expands the smart bin concept and proposes an IoT based architecture in [16], which consists of robotic waste collection vehicles and custom-designed waste containers.…”

Section: Solutionmentioning

confidence: 99%

“…Many of the solutions presented in the research literature are designed in a technology-driven way, where the needs and requirements are not discussed in detail( e.g. [6,35]) and a new and interesting technology (e.g. RFID, [19,48]) dominates the final design.…”

Section: Commercially Available Solutionsmentioning

confidence: 99%

Smart Cities: A Case Study in Waste Monitoring and Management

Lundin¹,

Özkil²,

Schuldt-Jensen³

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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This paper explores the potential of employing sensor enabled solutions to improve on waste monitoring and collection in public trash bins. Through a user-centered design approach, an inexpensive monitoring system developed and tested in pilot study. The system consists of wireless nodes that use ultrasonic sensors to measure the empty space in the bins, a sensor gateway that is based on Long Rage Wide Area Network (LoRaWAN) protocol and cloud-based back/front end for data collection, analysis and visualization. The system was evaluated through a pilot test, where six outdoor trash bins were remotely monitored at a university campus and a number of stakeholders were observed and interviewed. The results show that the existing technologies are mature enough to be able to develop and implement inexpensive add-on sensors to exiting trash bins, and employing such a system can provide the necessary insights to optimize waste collection processes, to avoid overfilled bins, and to improve the experience of the citizens.

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Waste Management as an IoT-Enabled Service in Smart Cities

Cited by 156 publications

References 17 publications

The Role of Green Internet of Things (G-IoT) and Big Data in Making Cities Smarter, Safer and More Sustainable

The Role of Green Internet of Things (G-IoT) and Big Data in Making Cities Smarter, Safer and More Sustainable

Smart Bin: Internet-of-Things Garbage Monitoring System

Smart Cities: A Case Study in Waste Monitoring and Management

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