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All Journal Journal of Multidisciplinary Science: MIKAILALSYS Asian Journal of Science, Technology, Engineering, and Art ALSYSTECH Journal of Education Technology Mikailalsys Journal of Advanced Engineering International Mikailalsys Journal of Mathematics and Statistics International Journal of Education, Management, and Technology
Akintayo, Taiwo Abdulahi
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Agriculture, Biological Sciences & Forestry Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Journal of Multidisciplinary Science: MIKAILALSYS

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Intelligent Recycling Facilities with IoT Sensors and Data Analytics for Environmental Justice and Sustainable Materials Processing in Low-Income Areas Akintayo, Taiwo Abdulahi; Enabulele, Ewemade Cornelius; Paul, Chadi; Okereke, Ruth Onyekachi; Sobajo, Moses Sodiq; Afolabi, Olasunkanmi John; Joel, Ogundigba Omotunde; Nnadiekwe, Oluchi Anthonia; Queenet, Madumere Chiamaka; Abdulyekeen, Rilwan; Emoshoriemhe, Akpaibor Favour; Oyefemi, Oyero Muqadas; Godwin, Agbonze Nosa; Ebuka, Eguzoroh Emmanuel
Journal of Multidisciplinary Science: MIKAILALSYS Vol 2 No 3 (2024): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v2i3.3827

Abstract

This research seeks to transform waste management in low-income communities like Nigeria by introducing intelligent recycling facilities equipped with IoT sensors and data analytics. These innovative facilities will optimize recycling processes, monitor material flows, and provide valuable insights on waste reduction and environmental impact. The goal is to address the pressing issue of waste production, which has become a significant concern in developing nations due to rising food consumption and population growth. In Nigeria, inadequate waste collection and disposal methods have led to environmental pollution and health crises. The common practice of dumping garbage on roads has resulted in unsightly piles of refuse, hindering the nation's beauty. To combat this, we propose the adoption of sustainable smart bins with efficient IoT applications. These smart bins will provide a futuristic solution for waste management, enabling remote monitoring and optimization of waste levels. The benefits of this IoT-based system include (1) Remote access for efficient level control (2) Improved time and energy efficiency (3) Reduced congestion in waste bins. By developing a low-cost, intelligent waste bin system with IoT technology, we can create a green and clean atmosphere within cities. This innovative approach will inform policy and practice, advancing environmental justice and sustainable development in marginalized areas.
Real-Time Monitoring and Control with Wireless Sensor and Actuator Technology Olope, Olumide Innocent; Akintayo, Taiwo Abdulahi; David, Fakokunde Babatunde; Chiamaka, Kalu Henrietta
Journal of Multidisciplinary Science: MIKAILALSYS Vol 2 No 3 (2024): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v2i3.3841

Abstract

This paper explores the implementation of a smart monitoring system within a wireless sensor network, with a particular emphasis on developing a robust routing framework using the Routing Protocol for Low-power and Lossy Networks (RPL). This protocol, is designed to address the unique challenges of low-power and lossy environments. Our approach involves using a streamlined version of the Representational State Transfer (REST) architecture, implemented through a binary web service. This setup minimizes overhead and maximizes efficiency, which is critical for resource-constrained networks. Additionally, we use a publish/subscribe model, where each node in the network makes its resources—such as environmental sensors—available to other nodes interested in them. This model enhances the flexibility and responsiveness of the network. A significant part of our research involves a detailed performance evaluation of RPL. We conducted a series of experiments to understand how various parameters of the RPL protocol affect its performance in a smart grid scenario. Our analysis looks at key metrics such as routing efficiency, energy consumption, and overall network reliability. Through these experiments, we aim to provide valuable insights into how different configurations of RPL can impact its effectiveness. Our findings are intended to guide the optimization of RPL for specific applications, offering practical recommendations for deploying smart monitoring systems in similar low-power, lossy environments. This research not only sheds light on RPL’s performance but also contributes to the advancement of more efficient and reliable wireless sensor networks for smart grids and other related applications.
Co-Authors AbdulKareem, Idayat Olaide Abdulyekeen, Rilwan Adanna, Arinze Betsy Afolabi, Olasunkanmi John Agada, Olowu Innocent Akinnagbe, Olayiwola Blessing Arinze, Ugochukwu Ukeje Asolo, Emmanuel Atinuke, Aregbesola Taobat Chiamaka, Kalu Henrietta David, Fakokunde Babatunde Ebuka, Eguzoroh Emmanuel Emoshoriemhe, Akpaibor Favour Enabulele, Ewemade Cornelius Felix, Omojola Ayogoke Godwin, Agbonze Nosa Iyilade, Daniel Olorunfemi Joel, Ogundigba Omotunde Ngozi, Egenuka Rhoda Nnadiekwe, Oluchi Anthonia Nnamani, Chinenye Cordelia Ojemerenvhie, Grace Alele Okereke, Ruth Onyekachi Olayinka, Usman Wasiu Olobo, Neibo Augustine Olope, Olumide Innocent Oluwadamilola, Adebesin Adedayo Osaro, Chukwuemeka Chukwuma Oyefemi, Oyero Muqadas Paul, Chadi Queenet, Madumere Chiamaka Sobajo, Moses Sodiq Victoria, Shittu Sarah