Waste Management in IoT- Enabled Smart Cities: A Survey

S, Nalavadi Srikantha Khaja Moinuddin Lokesh K; Narayana, Aswatha

doi:10.18535/ijecs/v6i5.53

Cited by 6 publications

(3 citation statements)

References 30 publications

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“…A large body of research on waste management have been proposed, and this section focuses on the first type (i.e., sensor-based waste collection). The usage of sensors for SWC was introduced several years ago using RFID chips [11]. Most recent studies used advanced IoT technologies such as automatic fill level sensors, cameras or laser in order to detect the bin fill-level.…”

Section: Related Workmentioning

confidence: 99%

Heterogeneous Sensing Data Analysis for Commercial Waste Collection

Melakessou

Kugener

Al-Naffakh

et al. 2020

Sensors

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Waste collection has become a major issue all over the world, especially when it is offered as a service for businesses; unlike public waste collection where the parameters are relatively homogeneous. This industry can greatly benefit from new sensing technologies and advances in artificial intelligence that have been achieved over the last few years. However, in most situations waste management systems are based on obsolete technologies, with a low level of interoperability and thus offering static processes. The most advanced solutions are generally limited to statistical, non-predictive approaches and have a limited view of reality, making them weakly effective in dealing with day-to-day business issues (overflowing containers, poor quality of service, etc.). This paper presents a case study currently being developed in Luxembourg with a company offering a business waste collection service, which has a significant amount of constraints to consider. Our main objective is to investigate the use of multiple waste data sources to derive useful indicators for improving collection processes. We start with company-owned historical data and then investigate GPS information from tracking devices positioned on collection trucks. Furthermore, we analyze data collected from ultrasonic sensors deployed on almost 50 different containers to measure fill levels. We describe the deployment steps and show that this approach, combined with anomaly detection and prediction techniques, has the potential to change the way this business operates. We also discuss the interest of the different datasets presented and multi-objective optimization issues. To the best of our knowledge, this article is the first major work dedicated to the world of professional waste collection.

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Section: Related Workmentioning

confidence: 99%

Heterogeneous Sensing Data Analysis for Commercial Waste Collection

Melakessou

Kugener

Al-Naffakh

et al. 2020

Sensors

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“…In Mannheim cities, Schneider Electric Company offers a variety of wired solar power systems for families. This will allow the family to have PV systems, control and maintenance equipment so that the entire network is exhausted or until solar energy is produced and converted to meet household energy demand during peak periods [25].…”

Section: Introductionmentioning

confidence: 99%

Distributed Peer-to-Peer Energy Trading in Virtual Microgrids: A Blockchain Survey for Future Smart Grid

Binyamin

Sami

2022

Preprint

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Due to the apparent demands and constraints faced by energy systems operating in the market world, the Prosumer Energy trade strategy was selected as a potential opportunity for research and industries. Energy trading has expanded due to the availability of dispersed energy sources and power users who produce more electricity than they would otherwise and can profitably export their excess fuel. The energy trading system blends energy from various sources and effectively coordinates it to ensure stable and optimal usage of available resources and better facilities for energy users. Peer-to-peer (P2P) energy trading is a joint research topic that involves various managerial and technical challenges. This paper provides an overview of peer-to-peer energy exchange and how blockchain can be used to increase transparency and overall performance, including the degree of decentralization, scalability, and device reliability. A thorough examination of the Prosumer Smart Grid environment is explored and clarified. The energy sharing mechanism among consumers comprises two major components: information/digital technology and optimization techniques. Three blockchain-based energy sharing models have been proposed to overcome technical and market barriers to adopt this revolutionary technology. The paper further discusses open topics and possible future paths for peer-to-peer blockchain-based energy sharing.

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“…In Mannheim, Germany, it was used to implement SG applications. Mannheim’s cities implemented green resources with this project and planned and developed energy usage [ 24 ]. Schneider Electric offers wired solar power systems in Mannheim.…”

Section: Introductionmentioning

confidence: 99%

Energy Internet Opportunities in Distributed Peer-to-Peer Energy Trading Reveal by Blockchain for Future Smart Grid 2.0

Zafar

Sami

2022

Sensors

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The Energy Internet (EI) and Smart Grid 2.0 (SG 2.0) concepts are potential challenges in industry and research. The purpose of SG 2.0 and EI is to automate innovative power grid operations. To move from Distribution Network Operators (DSO) to consumer-centric distributed power grid management, the blockchain and smart contracts are applicable. Blockchain technology and integrated SGs will present challenges, limiting the deployment of Distributed Energy Resources (DERs). This review looks at the decentralization of the Smart Grid 2.0 using blockchain technology. Energy trading has increased due to access to distributed energy sources and electricity producers who can financially export surplus fuels. The energy trading system successfully combines energy from multiple sources to ensure consistent and optimal use of available resources and better facilities for energy users. Peer-to-peer (P2P) energy trading is a common field of study that presents some administrative and technical difficulties. This article provides a general overview of P2P energy exchange. It discusses how blockchain can improve transparency and overall performance, including the degree of decentralization, scalability, and device reliability. The research is extended to examine unresolved issues and potential directions for P2P blockchain-based energy sharing in the future. In fact, this paper also demonstrates the importance of blockchain in future smart grid activities and its blockchain-based applications. The study also briefly examines the issues associated with blockchain integration, ensuring the decentralized, secure and scalable operation of autonomous electric grids in the future.

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Waste Management in IoT- Enabled Smart Cities: A Survey

Cited by 6 publications

References 30 publications

Heterogeneous Sensing Data Analysis for Commercial Waste Collection

Heterogeneous Sensing Data Analysis for Commercial Waste Collection

Distributed Peer-to-Peer Energy Trading in Virtual Microgrids: A Blockchain Survey for Future Smart Grid

Energy Internet Opportunities in Distributed Peer-to-Peer Energy Trading Reveal by Blockchain for Future Smart Grid 2.0

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