@inproceedings{a44f2e1ab1c64eb4900e188a636a3d20,
title = "Carbon-Aware Adaptive Routing Protocol with Real-Time Traffic Information for Cyber-Physical Internet Networks",
abstract = "This paper presents a novel Carbon-Aware Adaptive Routing Protocol with Real-Time Traffic Information for Cyber-Physical Internet networks. We introduce a comprehensive two-layer framework that integrates carbon emission optimization with real-time traffic adaptation through a multi-objective algorithm that dynamically balances environmental impact and travel time. Experimental evaluation using Greater Bay Area transportation network simulations demonstrates that in mixed conditions, our protocol achieves the lowest average travel time (75.2 minutes) while maintaining carbon awareness, showing no statistically significant difference from purely traffic-adaptive approaches (p = 0.3872). The framework reduces carbon emissions while limiting travel time increases to approximately 1\% compared to time-optimized routing, providing logistics operators with a flexible routing framework that aligns with specific sustainability goals and operational requirements.",
keywords = "adaptive protocols, carbon-aware routing, cyber-physical systems, green networking, Internet of Things, real-time traffic",
author = "Li, \{Infi X.\} and Chenglin Yu and Yuchen Wang and Hang Wu and Ming Li and Hongxia Yang",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 International Conference on Networking, Sensing and Control, ICNSC 2025 ; Conference date: 01-10-2025 Through 03-10-2025",
year = "2025",
month = oct,
doi = "10.1109/ICNSC66229.2025.00056",
language = "English",
series = "Proceedings - 2025 International Conference on Networking, Sensing and Control, ICNSC 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "293--300",
booktitle = "Proceedings - 2025 International Conference on Networking, Sensing and Control, ICNSC 2025",
}