Smart Solid Waste Management System Using IoT Technology: Comparative Analysis, Gaps, and Challenges
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- First Online: 04 February 2023
- Cite this conference paper
- Meenakshi Shruti Pal 5 &
- Munish Bhatia 5
Part of the book series: Engineering Cyber-Physical Systems and Critical Infrastructures ((ECPSCI,volume 3))
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- International Conference on Intelligent Cyber Physical Systems and Internet of Things
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With the consistent spike in the world’s population and continued expansion of urban cities, waste is a highly visible city problem for every prominent stakeholder including the respective State Government of the territory. Waste management in the cities has big expenditures based on the method of waste collection and disposable systems that are opted by a particular city. There are several ways to enhance the waste collection mechanism, however, one of the most appropriate systems with appropriate use of technology is key to getting the waste management system right and making it commercially viable. The latest entrant to smart city waste management is the Internet of Things (IoT). The smart bins comprising IoT sensors and route optimization improve traditional waste management processes in the most efficient manner. Therefore, this paper reviews various IoT-based solutions used for waste collection and route optimization methods for garbage collector vehicles in the past decade. The objective of the paper is to study and analyze the state-of-the-art techniques used for the waste management system with smart IoT-enabled bins. In this paper, analyses of research papers are described in the literature. Research gaps from an existing work have been concluded based on the results of the study. Further, this paper also describes the various challenges and issues of the smart waste management system. This thus, calls for further improvement and innovation.
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Meenakshi Shruti Pal & Munish Bhatia
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Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India
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Faculty of Communication Sciences, University of Teramo, Teramo, Italy
Danilo Pelusi
Department of Electrical Engineering, Da-Yeh University, Dacun, Changhua, Taiwan
Joy Iong-Zong Chen
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Pal, M.S., Bhatia, M. (2023). Smart Solid Waste Management System Using IoT Technology: Comparative Analysis, Gaps, and Challenges. In: Hemanth, J., Pelusi, D., Chen, J.IZ. (eds) Intelligent Cyber Physical Systems and Internet of Things. ICoICI 2022. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-031-18497-0_58
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DOI : https://doi.org/10.1007/978-3-031-18497-0_58
Published : 04 February 2023
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COMMENTS
1. Introduction. Waste management is an important current issue for societies. Sectors as varied as cities, manufacturing, and service industries face waste management challenges, and the issue has intensified due to significant population growth, urbanization, and consumerism (Zhang et al., 2019, Paul and Ghosh, 2022).Concurrent with the increase in waste management challenges, smart waste ...
The Smart Waste Management System will simplify, with the Web applications and mobile phone, the solid and hydric waste inspecti ng process, and the management system of this. presentation's total ...
This research paper proposes a better methodology that professionally achieves waste management by predicting a high level of garbage in smart bins. With machine learning, the system may enhance ...
development is the design and implementation of monitoring. and management systems for waste collection and removal. With urbanization, rising income and consumption, the pro-. duction of waste ...
Abstract. Smart waste management is an approach that utilizes modern technology to manage waste materials in effective, efficient, and economical way. Artificial intelligence offers various approaches which can help to construct smart waste management systems. AI based systems are used to tackle complicated problems, handle uncertainty, and ...
Artificial Intelligence Based Smart Waste Management—A Systematic Review. Abstract Smart waste management is an approach that utilizes modern technology to manage waste materials in effective, efficient, and economical way. Artificial intel-ligence offers various approaches which can help to construct smart waste manage-ment systems.
This situation can be improved by integrating advanced technologies, which can significantly enhance the flexibility and performance of waste monitoring systems. However, these advanced technologies encounter numerous security challenges. In this article, we have implemented a signature-based monitoring approach to oversee the status of smart bins.
We can majorly divide existing review works into two categories; Smart Waste Management for Smart Cities and Artificial Intelligence-based Smart Waste Management Systems. Smart city perception-based review papers focused on the research works published on bin location problems, garbage collection vehicle routing problems, secure garbage ...
With urbanization, rising income and consumption, the production of waste increases. One of the most important directions in the field of sustainable development is the design and implementation of monitoring and management systems for waste collection and removal. Smart waste management (SWM) involves for example collection and analytics of data from sensors on smart garbage bins (SGBs ...
With a rapid increase in population, many problems arise in relation to waste dumps. These emits hazardous gases, which have negative effects on human health. The main issue is the domestic solid waste collection, management, and classification. According to studies, in America, nearly 75% of waste can be recycled, but there is a lack of a proper real-time waste-segregating mechanism, due to ...
Future university campuses will be characterized by a series of novel services enabled by the vision of Internet of Things, such as smart parking and smart libraries. In this paper, we propose a complete solution for a smart waste management system with the purpose of increasing the recycling rate in the campus and provide better management of the entire waste cycle. The system is based on a ...
This article aims to conduct systematic literature review on artificial intelligent-based smart waste management systems. In this study, we have identified and analyzed 40 research papers ...
The objective of the paper is to study and analyze the state-of-the-art techniques used for the waste management system with smart IoT-enabled bins. This study is a comprehensive review of various techniques being used for the SWMS by using the IoT. Based on literature analysis, detailed information is typically presented in Table 2.
This paper presents smart waste management using IoT based waste bin for collection and monitoring the level of waste inside bin. The system is implemented using two ultrasonic sensors which is being controlled by Node MCU. ... In this system, level of waste in the bin will be sent to concerned authorities. The IoT data is stored and monitored ...
In this environment of accelerated development around the world, more and more waste is generated by direct or indirect means. A daily generation of waste in tons requires an effective management technique. If not done suitably, virtually unlimited amounts of open spaces will be required to dump the waste. The system proposed in this research will lend a hand to solve these waste management ...
References (6) Smart Waste Management System using IOT. Tejashree Kadus, Pawankumar Nirmal, Kartikee Kulkarn i. Department of Mechanical Engineering. MIT Academy of Engineering, Pune. Savitribai ...
2.2 Smart Waste Management in the Context of Smart Cities. The research paper , focused on the smart management of waste using the IoT and an optimized architecture to manage the waste in the perspective of smart cities where the particular situation of access waste is prevailing. The particular study delved into the quality of typology of the ...
The authors annually evaluated the reduction in the use of water (2.5 10 5 tons), nitrogen (5.6 NH 3 -N tons), and carbon emissions (134 tons) through the reuse of treated sewage. Advances in the management of solid waste and wastewater treatment include landfilling, the composting of organic matter, reductions in greenhouse gas emissions and ...
In this paper we have developed a low cost, low power waste management system which will be applicable in regions which are not economically sound. This system enables us to collect the trash as and when the can is full or when the trash inside is decomposed compared to daily collection. This has been designed using an Arduino Uno board incorporating additional modules such as a GSM module to ...
technologies like cloud computing and data analytics. Jose M. Gutierrez et.al [8] proposed the functional smart. city and the use of an smart waste management .It uses IoT for. sensing the wastage ...
This paper presents a cost-effective design of an intelligent waste container for small-sca le cases. This system is based. on Arduino Nano board and a n ultrason ic sensor to monitor the fullness ...