Publication detail

Autonomous Smart Sensors for Efficient Urban Waste Management

JANŮŠ, T. ŠTEFFAN, P.

Original Title

Autonomous Smart Sensors for Efficient Urban Waste Management

Type

conference paper

Language

English

Original Abstract

This paper introduces a universal sensor for waste management that enhances operational efficiency and safety across urban environments. The sensor is equipped with ultrasonic and specialized sensors for detecting leaks and smoke, ensuring robust monitoring capabilities. It features adaptable communication options like LoRa, Cat-M1, NB-IoT, and 5G to optimize energy efficiency and real-time data transmission. Significantly, the sensor's configurations are autonomously adjusted based on data analyzed in a centralized data center using AI and machine learning models. This allows for dynamic responses to environmental changes, improving the system's effectiveness and adaptability. Integrating a solar-powered energy system with intelligent power management further supports sustainable operations. The sensor system is designed for easy integration into existing infrastructures, offering a scalable solution that advances the sustainability and safety of urban waste management through smart technology and data-driven insights.

Keywords

5G; Autonomous Systems; Hybrid Communication; LV-MaxSonar-EZ4 MB1040; Real-Time AI; Smart Sensors; Urban Waste Management

Authors

JANŮŠ, T.; ŠTEFFAN, P.

Released

31. 7. 2024

Publisher

Institute of Electrical and Electronics Engineers Inc.

ISBN

979-8-3503-6559-7

Book

2024 47th International Conference on Telecommunications and Signal Processing (TSP)

Pages from

294

Pages to

297

Pages count

4

URL

BibTex

@inproceedings{BUT190059,
  author="Tomáš {Janůš} and Pavel {Šteffan}",
  title="Autonomous Smart Sensors for Efficient Urban Waste Management",
  booktitle="2024 47th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2024",
  pages="294--297",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  doi="10.1109/TSP63128.2024.10605962",
  isbn="979-8-3503-6559-7",
  url="https://ieeexplore.ieee.org/document/10605962"
}