A trustworthy vehicle-to-vehicle power trading scheme based on spatio temporal network and blockchain

The integration of electric vehicles into decentralized energy sharing systems demands innovative parallel computing solutions to address the real-time processing and trust challenges in vehicle-to-vehicle transactions. This study tackles two critical limitations: (1) conventional routing methods’ inability to handle dynamic spatio-temporal constraints, and (2) centralized reputation mechanisms conflicting with vehicle-to-vehicle’s decentralized nature. This paper proposes a parallel distributed computing framework combining spatio-temporal network optimization with blockchain architecture. First, a tensor-based spatio-temporal network model converts dynamic routing into parallelizable static flow allocation, enabling real-time constraint embedding through distributed parallel matrix operations. Second, a blockchain-powered transaction layer implements parallel smart contracts for concurrent verification and social welfare-optimized pricing, achieving Byzantine fault-tolerant consensus through sharded transaction processing. Experimental results demonstrate 23.6% faster computation throughput and 31.2% higher transaction concurrency compared to existing distributed systems, while maintaining 17.8% social welfare improvement. The framework effectively resolves the latency-trust dichotomy in V2V energy exchange through coordinated parallel computing paradigms.