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Journal ArticleDOI

An IoT-based bin level monitoring system for solid waste management

TLDR
The development and validation of a self-powered, simple connect, IoT solution to monitor the unfilled level of trash bins from a central monitoring station is presented and the developed trash bins can be suitable for smart cities.
Abstract
Improper disposal of solid waste that impacts human health and pollutes the environment, arising a need for successful and necessary collection of waste materials. However, most trash bins placed in cities can be seen overflowing due to traditional or inefficient waste management approaches. Therefore, a real-time remote monitoring system is needed to alert the level of garbage in bins to the relevant authority for immediate waste clearance. This paper presents the development and validation of a self-powered, simple connect, IoT solution to monitor the unfilled level of trash bins from a central monitoring station. The end sensor nodes of the developed IoT system are called Bin Level Monitoring Unit (BLMU) which are installed in every trash bin where the unfilled level needs to be monitored. Every BLMU measures the unfilled level of the trash bins and transmits it to a wireless access point unit (WAPU). Each WAPU receives the unfilled level data from several BLMUs and uploads it to the central server for storage and analysis. The waste collection authority can view and analyze the unfilled level of each bin using a smart graphical user interface. The following important experiments were carried out to validate the developed system: (1) the developed bin level monitoring system was tested by filling a trash bin with solid waste at various levels, and the corresponding unfilled level of the trash bin was monitored using the smart graphical user interface. (2) The life expectancy of the BLMU was evaluated as approximately 434 days. (3) The maximum transmission distance between a BLMU and a WAPU is 119 m. (4) The cost of a developed trash bin is 107 USD. Based on the results achieved, the developed trash bins can be suitable for smart cities.

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Citations
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Journal ArticleDOI

IoT-Enabled Solid Waste Management in Smart Cities

TL;DR: This work proposes an IoT-enabled solid waste management system for smart cities to overcome the limitations of the traditional waste management systems and measures the sleep current and active current contributions of a PBLMU to estimate its average current consumption.
Journal ArticleDOI

A Self-Powered, Real-Time, LoRaWAN IoT-Based Soil Health Monitoring System

TL;DR: The development, deployment, and validation of an Internet-of-Things (IoT) system for continuous monitoring of soil health, called soil health monitoring units (SHMUs), are solar powered and can be installed on a field for extended periods of time using long-range wide-area network (LoRaWAN) radio technology.
Journal ArticleDOI

Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review.

TL;DR: In this paper , the authors examined the application of AI technologies in various areas of SWM (generation, sorting, collection, vehicle routing, treatment, disposal and waste management planning) to enhance sustainable waste management practices in Australia.
Journal ArticleDOI

Blockchain: Future of e-Governance in Smart Cities

TL;DR: In this paper, the authors explore the potential of blockchain technology as an enabler for e-governance in smart cities and examine the daily challenges of citizens and compare them with the benefits being offered by blockchain integration.
Journal ArticleDOI

Role of Wireless Aided Technologies in the Solid Waste Management: A Comprehensive Review

TL;DR: In this paper, a thorough analysis is carried out in the article, and from the analysis, distinct ICT technologies that have been implemented in SWM have been identified distinct function, application, and limitations of each technology, and the authors concluded that the implementation of the Internet of Things plays a significant role in minimizing the negative impact of waste on the environment.
References
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Journal ArticleDOI

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TL;DR: A comprehensive study of wireless sensor networks' deployment in urban areas and discusses the merits and demerits of WSN architectures in urban environments.
Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

Context-Sensitive Access in Industrial Internet of Things (IIoT) Healthcare Applications

TL;DR: A context-sensitive seamless identity provisioning (CSIP) framework for the IIoT with a secure mutual authentication approach using hash and global assertion value to prove that the proposed mechanism can achieve the major security goals of the WMSN in a short time period.
Journal ArticleDOI

Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair)

TL;DR: A three-phase air pollution monitoring system analogous to Google traffic or the navigation application of Google Maps is proposed, and air quality data can be used to predict future air quality index (AQI) levels.
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