Autonomous Smart Sensors for Efficient Urban Waste Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU152513" target="_blank" >RIV/00216305:26220/24:PU152513 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10605962" target="_blank" >https://ieeexplore.ieee.org/document/10605962</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP63128.2024.10605962" target="_blank" >10.1109/TSP63128.2024.10605962</a>
Alternative languages
Result language
angličtina
Original language name
Autonomous Smart Sensors for Efficient Urban Waste Management
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2024 47th International Conference on Telecommunications and Signal Processing (TSP)
ISBN
979-8-3503-6559-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
294-297
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
neuveden
Event location
Prague
Event date
Jul 10, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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