Czasopismo | PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE | Rocznik 2024 - zeszyt 4

LEVERAGING LORAWAN FOR INTELLIGENT GARBAGE COLLECTION IN CITIES USING MATERIAL COMPOSITION DATA FROM SMART BINS

10.15199/59.2024.4.34

nr katalogowy: 150423
10.15199/59.2024.4.34

Streszczenie

Smart cities are increasingly utilizing IoT sens- ing technologies to address urban challenges more effectively. Traditional 4G/5G technology-based measurement systems may not be suitable for applications requiring thousands of IoT nodes, making Low Power Wide Area Network (LP- WAN) technologies like LoRaWAN more suitable. This ar- ticle focuses on waste management, a critical aspect of smart cities. Despite societal pressure for segregation and recycling, there is no guarantee that the collected waste will be pro- cessed correctly. To address this, a LoRaWAN system is ex- plored to monitor waste composition information in smart bins. This data helps to monitor waste bin fullness levels in real time, optimize garbage collection routes, and remotely manage collection schedules. We assessed the LoRaWAN sys- tem in the context of an actual city scenario using field mea- surements and simulation within a framework to incorporate LoRaWAN-enabled sensors and devices into existing infras- tructure, aiming for operational efficiency, cost savings, and the overarching goal of enhanced environmental sustainabil- ity.

Słowa kluczowe

Bibliografia

[1] Muhammad Ayoub Kamal, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, and Mazliham Mohd Su’ud. Re- quirements, deployments, and challenges of lora technology: A survey. Computational Intelligence and Neuroscience, 2023:1–15, January 2023.
[2] Daniel Octavian Melinte, Ana-Maria Travediu, and Dan N Dumitriu. Deep convolutional neural networks object de- tector for real-time waste identification. Applied Sciences, 10(20):7301, 2020.
[3] Steven M. Hernandez, Deniz Erdag, and Eyuphan Bulut. To- wards dense and scalable soil sensing through low-cost wifi sensing networks. In 2021 IEEE 46th Conference on Local Computer Networks (LCN), pages 549–556, 2021.
[4] Sheng Tan and Jie Yang. Object sensing for fruit ripeness de- tection using wifi signals. arXiv e-prints, pages arXiv–2106, 2021.
[5] Bharat S. Chaudhari, Marco Zennaro, and Suresh Borkar. Lpwan technologies: Emerging application characteristics, requirements, and design considerations. Future Internet, 12(3), 2020.
[6] Andres Vazquez-Rodas, Fabian Astudillo-Salinas, Christian Sanchez, Braulio Arpi, and Luis I. Minchala. Experimen- tal evaluation of rssi-based positioning system with low-cost lora devices. Ad Hoc Networks, 105:102168, 2020.
[7] Nadège Varsier and Jean Schwoerer. Capacity limits of lo- rawan technology for smart metering applications. In 2017 IEEE International Conference on Communications (ICC), pages 1–6, 2017.

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2024-4

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