Machine Learning Based Power Efficient Optimized Communication Ensemble Model with Intelligent Fog Computing for WSNs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10436-x.pdf
Reference41 articles.
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3. Qin, E., Long, Y., Zhang, C., & Huang, L. (2013). Cloud computing and the internet of things: Technology innovation in automobile service. In Lecture Notes Computer Science (including Subseries Lecture Notes Artificial Intelligence and Lecture Notes Bioinformatics), vol. 8017 LNCS, no. PART 2, pp. 173–180. https://doi.org/10.1007/978-3-642-39215-3_21.
4. Menon, V. G., Jacob, S., Joseph, S., Sehdev, P., Khosravi, M. R., & Al-Turjman, F. (2020). An IoT-enabled intelligent automobile system for smart cities. Internet of Things. https://doi.org/10.1016/j.iot.2020.100213
5. Froiz-Míguez, I., Fernández-Caramés, T. M., Fraga-Lamas, P., & Castedo, L. (2018). Design, implementation and practical evaluation of an iot home automation system for fog computing applications based on MQTT and ZigBee-WiFi sensor nodes. Sensors (Switzerland), 18(8), 1–42. https://doi.org/10.3390/s18082660
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