An IoT Based Smart Waste Management System for the Municipality or City Corporations

• URL: http://arxiv.org/abs/2411.09710v1
• Date: Thu, 31 Oct 2024 04:34:08 GMT
• Title: An IoT Based Smart Waste Management System for the Municipality or City Corporations
• Authors: Laboni Paul, Rahul Deb Mohalder, Kazi Masudul Alam,
• Abstract summary: The population of the urban areas is increasing daily, and this migration is causing serious environmental pollution. New generation technologies, such as the Internet of Things (IoT)-based waste management systems, can help improve this serious issue. In this article, we combine these two technologies to offer an acceptable solution to this problem.
• Score: 0.0
• License:
• Abstract: The population of the urban areas is increasing daily, and this migration is causing serious environmental pollution. A larger population is creating pressure on the municipality's waste management and the city corporations of developing countries such as Bangladesh, further threatening human health. New generation technologies, such as the Internet of Things (IoT)-based waste management systems, can help improve this serious issue. IoT-enabled smart dustbins and mobile applications-based interactive management can effectively solve this problem. In this article, we combine these two technologies to offer an acceptable solution to this problem. The proposed waste management model enables smart dustbins to communicate with waste collectors or waste control centers whenever it is necessary. Additionally, city dwellers can use mobile applications to report their observations in their neighborhoods. As a result, both sensors and humans are involved directly in the development loop. We have conducted a detailed survey to study the acceptance of such a system in the community and received some encouraging results.

Related papers

• MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility [52.0930915607703]
  Recent advances in Robotics and Embodied AI make public urban spaces no longer exclusive to humans. Micromobility enabled by AI for short-distance travel in public urban spaces plays a crucial component in the future transportation system. We present MetaUrban, a compositional simulation platform for the AI-driven urban micromobility research.
  arXiv  Detail & Related papers  (2024-07-11T17:56:49Z)
• Wireless Crowd Detection for Smart Overtourism Mitigation [50.031356998422815]
  This chapter describes a low-cost approach to monitoring overtourism based on mobile devices' wireless activity. The crowding sensors count the number of surrounding mobile devices, by detecting trace elements of wireless technologies. They run detection programs for several technologies, and fingerprinting analysis results are only stored locally in an anonymized database.
  arXiv  Detail & Related papers  (2024-02-14T13:20:24Z)
• IoT Data Processing for Smart City and Semantic Web Applications [0.0]
  The world has been experiencing rapid urbanization over the last few decades, putting a strain on existing city infrastructure. We are also seeing increasing pollution levels in cities threatening the environment, natural resources and health conditions. It is imperative to limit the ill effects of rapid urbanization through integrated action plans to enable the development of growing cities.
  arXiv  Detail & Related papers  (2023-06-29T07:11:05Z)
• Design of a Smart Waste Management System for the City of Johannesburg [0.0]
  South Africa is a developing country with many townships that have limited waste resources. As the population is increasing more waste is produced which causes various problems for the waste municipalities and the public at large. The proposed system consists of sensors, user applications, and a real-time monitoring system.
  arXiv  Detail & Related papers  (2023-03-25T11:14:58Z)
• Waste Management Hackathon Providing New Ideas to Increase Citizen Awareness, Motivation and Engagement [0.9257985820122997]
  The purpose of the hackathon was to promote the use of disruptive ICT technologies in urban infrastructures. 29 students enrolled into this hackathon and in the end 4 teams submitted their solutions to the challenges. The winning proposal EcoQ, an approach for plogging collecting trashes while jogging, answered more than well to the presented challenge on waste management and engagement.
  arXiv  Detail & Related papers  (2022-09-27T13:55:05Z)
• Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks [68.8204255655161]
  Connectivity in rural areas is one of the main challenges of communication networks. We highlight the latest works on rural connectivity, discuss the solutions for terrestrial networks, and study the potential benefits of nonterrestrial networks. We discuss the rural connectivity challenges and highlight the latest projects and research and the empowerment of networks using AI.
  arXiv  Detail & Related papers  (2022-02-25T13:40:35Z)
• IoT-based Route Recommendation for an Intelligent Waste Management System [61.04795047897888]
  This work proposes an intelligent approach to route recommendation in an IoT-enabled waste management system given spatial constraints. Our solution is based on a multiple-level decision-making process in which bins' status and coordinates are taken into account.
  arXiv  Detail & Related papers  (2022-01-01T12:36:22Z)
• Data Analytics for Smart cities: Challenges and Promises [3.1498833540989413]
  The goal of this study is to provide a comprehensive survey of data analytics in smart cities. In this paper, we aim to focus on one of the smart cities important branches, namely Smart Mobility. Intelligent decision-making systems in smart mobility offer many advantages such as saving energy, relaying city traffic, and more importantly, reducing air pollution by offering real-time useful information and imperative knowledge.
  arXiv  Detail & Related papers  (2021-09-12T18:33:24Z)
• Urban Sensing based on Mobile Phone Data: Approaches, Applications and Challenges [67.71975391801257]
  Much concern in mobile data analysis is related to human beings and their behaviours. This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data.
  arXiv  Detail & Related papers  (2020-08-29T15:14:03Z)
• Smart Urban Mobility: When Mobility Systems Meet Smart Data [55.456196356335745]
  Cities around the world are expanding dramatically, with urban population growth reaching nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by 2050. The economic contribution of the transport sector represents 5% of the GDP in Europe and costs an average of US $482.05 billion in the U.S.
  arXiv  Detail & Related papers  (2020-05-09T13:53:01Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.