Tytuł artykułu
Identyfikatory
Warianty tytułu
Konferencja
Konferencja Radiokomunikacji i Teleinformatyki (11-13.09.2024 ; Poznań, Polska)
Języki publikacji
Abstrakty
Smart cities are increasingly utilizing IoT sensing 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 article 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 processed correctly. To address this, a LoRaWAN system is explored 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 system in the context of an actual city scenario using field measurements and simulation within a framework to incorporate LoRaWAN-enabled sensors and devices into existing infrastructure, aiming for operational efficiency, cost savings, and the overarching goal of enhanced environmental sustainability.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
167--170
Opis fizyczny
Bibliogr. 7 poz., rys., tab.
Twórcy
autor
- Departamento de Ingienieria de Sistemas Telematicos, ETSI de Telecomunicacion, Universidad Politecnica de Madrid, Madrid
autor
- Institute de Telecommunications, AGH University of Krakow
autor
- Institute de Telecommunications, AGH University of Krakow
Bibliografia
- [1] Muhammad Ayoub Kamal, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, and Mazliham Mohd Su’ud. Requirements, 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 detector for real-time waste identification. Applied Sciences, 10(20):7301, 2020.
- [3] Steven M. Hernandez, Deniz Erdag, and Eyuphan Bulut. Towards 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 detection 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. Experimental 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 lorawan technology for smart metering applications. In 2017 IEEE International Conference on Communications (ICC), pages 1–6, 2017.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-68d2cd83-1d9e-494e-9bd1-66a22938ceeb