Smart forwarding in NDN VaNET

Abstract

Routing solutions for NDN VANET that use location information can be inadequate when such information is unavailable or when the vehicles’ locations change very fast. In this paper, we propose CCLF, a novel forwarding strategy to address this challenge. In addition to leveraging vehicle location information, CCLF takes into account content-based connectivity information, i.e., Interest satisfaction ratio for each name prefix, in its forwarding decisions. By keeping track of content connectivity and giving higher priority to vehicles with better content connectivity to forward Interests, CCLF not only reduces Interest flooding when location information is unknown or inaccurate, but also increases data fetching rate.

Publication Title

ICN 2019 - Proceedings of the 2019 Conference on Information-Centric Networking

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