Real time air quality monitoring with fog computing enabled IoT system: an experimental study
Author:
Affiliation:
1. Yeditepe University,Dept. of Computer Engineering,Istanbul,TR
2. National Electronics and Computer Technology Center NECTEC,Pathumthanni,TH
Funder
Technology Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9975794/9975848/09975988.pdf?arnumber=9975988
Reference27 articles.
1. Fog computing for sustainable smart cities in the IoT era: Caching techniques and enabling technologies - an overview;zahmatkesh;ACM Computing Surveys,2020
2. A Survey of Communication Protocols for Internet of Things and Related Challenges of Fog and Cloud Computing Integration
3. Cloud, Fog, or Mist in IoT? That Is the Question
4. From Cloud Down to Things: An Overview of Machine Learning in Internet of Things
5. Modeling of Aggregated IoT Traffic and Its Application to an IoT Cloud
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1. Q-IoT: QoS-Aware Multilayer Service Architecture for Multiclass IoT Data Traffic Management;IEEE Internet of Things Journal;2024-09-01
2. Commonalities and Differences in ML-Pipelines for Air Quality Systems;Progress in IS;2024
3. Demonstration of Multi-Layer IoT Platform with QoS Support;2023 International Conference on Smart Applications, Communications and Networking (SmartNets);2023-07-25
4. Location Aware Fog Computing Based Air Quality Monitoring System;2023 International Conference on Smart Applications, Communications and Networking (SmartNets);2023-07-25
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