Federated learning-based trust and energy-aware routing in Fog–Cloud computing environments for the Internet of Things
Fengchai Wang, Kun Wang · 2025
Read Federated learning-based trust and energy-aware routing in Fog–Cloud computing environments for the Internet of Things by Fengchai Wang, Kun Wang (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12816647.txt.
Description
Fengchai Wang and Kun Wang present FL-TEAR, a routing frame for fog cloud Internet of Things networks that learns trust by federation and weighs energy in path choice. Safe, sound, low energy links are hard across mixed, weak nodes. The study came out in twenty twenty-five.
Static trust scores give way to shared learning: nodes train one global trust and energy model without baring raw data. Trust scores update from behavior, link soundness, and leftover energy. Paths are picked by a score that blends trust, energy, delay, and link steadiness. The layered design spans things, fog, and cloud, cuts chatter, and guards privacy. Tests beat strong baselines.
Catalog record
| CREATOR | Fengchai Wang, Kun Wang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 75 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |