Waste management using Internet of Things (IoT)

Saha, Himadri Nath; Auddy, Supratim; Pal, Subrata; Kumar, Shubham; Pandey, Sujata; Singh, Rakhee; Singh, Amrendra K.; Banerjee, Swarnadeep; Ghosh, Debmalya; Saha, Sanhita

doi:10.1109/iemecon.2017.8079623

Cited by 75 publications

(27 citation statements)

References 8 publications

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“…IoT is a global network of interconnected objects which have unique addresses and can communicate using standard protocols [66]. Among other waste management solutions, Saha et al describe an IoT-based smart solar powered waste compacting bin, contributing to the optimization of the collection routes and the reduction of unnecessary clean-up costs [67]. Forlastro et al demonstrate an affordable IoT solution for video makers, which optimizes resource use by enabling users to transform traditional video equipment into smart objects and shoot through a mobile application [68].…”

Section: Data Collection and Internet Of Thingsmentioning

confidence: 99%

Information and Communication Technology Solutions for the Circular Economy

2020

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The concept of circular economy (CE) is becoming progressively popular with academia, industry, and policymakers, as a potential path towards a more sustainable economic system. Information and communication technology (ICT) systems have influenced every aspect of modern life and the CE is no exception. Cutting-edge technologies, such as big data, cloud computing, cyber-physical systems, internet of things, virtual and augmented reality, and blockchain, can play an integral role in the embracing of CE concepts and the rollout of CE programs by governments, organizations, and society as a whole. The current paper conducts an extensive academic literature review on prominent ICT solutions paving the way towards a CE. For the categorization of the solutions, a novel two-fold approach is introduced, focusing on both the technological aspect of the solutions (e.g., communications, computing, data analysis, etc.), and the main CE concept(s) employed (i.e., reduce, reuse, recycle and restore) that each solution is the most relevant to. The role of each solution in the transition to CE is highlighted. Results suggest that ICT solutions related to data collection and data analysis, and in particular to the internet of things, blockchain, digital platforms, artificial intelligence algorithms, and software tools, are amongst the most popular solutions proposed by academic researchers. Results also suggest that greater emphasis is placed on the “reduce” component of the CE, although ICT solutions for the other “R” components, as well as holistic ICT-based solutions, do exist as well. Specific important challenges impeding the adoption of ICT solutions for the CE are also identified and reviewed, with consumer and business attitude, economic costs, possible environmental impacts, lack of education around the CE, and lack of familiarization with modern technologies being found among the most prominent ones.

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Section: Data Collection and Internet Of Thingsmentioning

confidence: 99%

Information and Communication Technology Solutions for the Circular Economy

2020

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“…For instance, Ref. [ 55 ] exploits solar energy for powering a smart bin. Regarding connectivity and network infrastructure architecture, the work of this paper can be compared with [ 56 ] where similar sensors, even a GPS, are embedded in smart bins enabled with LoRa connectivity: the latter ones send data to a gateway that forwards the information towards a remote server via Message Queuing Telemetry Transport (MQTT).…”

Section: Related Workmentioning

confidence: 99%

A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management

Baldo

Mecocci

Parrino

et al. 2021

Sensors

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Long Range Wide Area Network (LoRaWAN) has rapidly become one of the key enabling technologies for the development of Internet of Things (IoT) architectures. A wide range of different solutions relying on this communication technology can be found in the literature: nevertheless, the most part of these architectures focus on single task systems. Conversely, the aim of this paper is to present the architecture of a LoRaWAN infrastructure gathering under the same network different typologies of services within one of the most significant sub-systems of the Smart City ecosystem (i.e., the Smart Waste Management). The proposed architecture exploits the whole range of different LoRaWAN classes, integrating nodes of growing complexity according to the different functions. The lowest level of this architecture is occupied by smart bins that simply collect data about their status. Moving on to upper levels, smart drop-off containers allow the interaction with users as well as the implementation of asynchronous downlink queries. At the top level, Video Surveillance Units (VSUs) are provided with machine learning capabilities for the detection of the presence of fire nearby bins or drop-off containers, thus fully implementing the Edge Computing paradigm. The proposed network infrastructure and its subsystems have been tested in a laboratory and in the field. This study has enhanced the readiness level of the proposed technology to Technology Readiness Level (TRL) 3.

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“…The solution uses the information collected by the waste management system associated to a language that uses a genetic algorithm that assists in the selection of suitable land for the construction of landfills. In Reference [39], the authors describe the various methods of waste disposal in which waste management can be applied. They feature an integrated solution of fill level sensors with solar-powered waste compaction called a smart box, which optimizes waste collection.…”

Section: Solid Waste Managementmentioning

confidence: 99%

“…Dynamic Scheduling Dynamic Routing Experimental Data [35] Not defined Not defined Simulator [36] Defined Defined Simulator [37] Defined Defined Simulator [38] Not defined Not defined Simulator [39] Defined Defined Simulator [40] Not defined Not defined Simulator [41] Not defined Not defined Simulator [42] Not defined Not defined Simulator [43] Not defined Not defined Simulator [44] Not defined Not defined Real [45] Defined Defined Simulator [46] Defined Defined Simulator [47] Not defined Not defined Simulator [48] Defined Defined Simulator [49] Defined Defined Simulator…”

Section: Refmentioning

confidence: 99%

IoT-Based Solid Waste Management Solutions: A Survey

Pardini

Rodrigues

Kozlov

et al. 2019

JSAN

138

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With the increase of population density and the rural exodus to cities, urbanization is assuming extreme proportions and presents a tremendous urban problem related to waste generation. The increase of waste generation has been considered a significant challenge to large urban centers worldwide and represents a critical issue for countries with accelerated population growth in cities. The Internet of Things (IoT) and cloud computing offer an automation possibility through cyberphysical systems that will change the way solid waste management is performed. Considering IoT requirements, a review analysis of waste management models available in the literature is performed in detail in this paper. Then, a deep review is undertaken of the related literature based on IoT infrastructure for efficient handling of waste generated in urban scenarios, focusing on the interaction among concessionaires and waste generators (citizens) from the perspective of a shorter collection time with reduced costs, as well as citizenship promotion. An IoT-based reference model is described, and a comparison analysis of the available solutions is presented, with the goal to highlight the most relevant approaches and identify open research issues on the topic.

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Waste management using Internet of Things (IoT)

Cited by 75 publications

References 8 publications

Information and Communication Technology Solutions for the Circular Economy

Information and Communication Technology Solutions for the Circular Economy

A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management

IoT-Based Solid Waste Management Solutions: A Survey

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