Adaptive rateless coded blockchain for dynamic IoV scenarios

The rapid development of Internet of Vehicles presents critical challenges in secure storage and sharing of massive vehicular data. Traditional blockchain's full-node storage paradigm incurs prohibitive overhead in resource-constrained vehicular environments, while existing coded blockchain schemes struggle with IoV's dynamic network topology and fluctuating node population. This paper proposes an adaptive rateless coded blockchain architecture tailored for dynamic IoV environments, employing systematic Raptor codes for block compression, VRF-based lightweight consensus, and dynamic parameter adjustment that adapts redundancy in real-time without re-encoding existing blocks. The scheme achieves an average compression ratio of 97.88% while ensuring decoding failure probability below [Formula: see text], significantly reducing storage overhead and demonstrating robustness in dynamic vehicular networks.