CSCN 2025, IEEE Conference on Standards for Communications and Networking, 15-17 September 2025, Bologna, Italy
Modern artificial intelligence (AI) techniques, combined with powerful far-edge computing capabilities, enable vehicles to cooperate, generate, and share knowledge with other vehicles over ad-hoc wireless technologies. In such decentralized vehicular knowledge networks, Named Data Networking (NDN) offers a promising paradigm to link knowledge consumers and producers without reliance on centralized infrastructure. One challenge in sharing knowledge over NDN lies in its redundancybased multi-hop dissemination mechanism, which can introduce inefficiencies and delays. Given the size and time sensitivity of knowledge, this necessitates fast and reliable dissemination strategies. This paper presents Mobility-Aware Knowledge Sharing
(MAKS), a scheme that considers vehicular dynamics and trajectory information to develop a mobility-aware forwarding information base (MaFIB), ensuring reliable knowledge sharing and reverse path stability in continuously varying network conditions.
Simulation results show that MAKS achieves a knowledge delivery ratio above 90%, reduces the path partition rate by over 40%, and lowers the number of retransmissions by more than threefold compared to other approaches.
Type:
Conférence
City:
Bologna
Date:
2025-09-15
Department:
Systèmes de Communication
Eurecom Ref:
8321
Copyright:
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