Trust Aware Multi Objective V2V Routing Using a Quantum Inspired Trust Aware Opportunistic Routing (Q-TAOR)

Vehicle to Vehicle communication (V2V) is the foundation of intelligent transportation systems, but due to high mobility and frequent topology changes, reliable and secure routing is still a challenge, and it is further exacerbated when vehicles are potentially malicious. The existing trust-aware routing protocols, e.g., Trusted Context-aware Opportunistic Routing (TCOR), rely heavily on heuristic and deterministic trust aggregation mechanisms, which are less effective in achieving optimal tradeoff between trust and routing efficiency as vehicular environments change dynamically. In order to overcome these limitations, we model the trust-aware V2V routing as a multi-objective optimization problem and design a new routing scheme based on a Quantum Inspired Trust-Aware Opportunistic Routing (Q-TAOR). The proposed method adoptedly choose secure forwarding paths in the face of malicious by taking into account trust maximization and routing efficiency. An effective quantum-inspired probabilistic representation is employed to extend the solution search space and generate reliable routes more efficiently via convergence yet does not depend on static decision rules. Therefore, the routing scheme integrates both direct and indirect trust observations and embeds optimization within a robust path selection process under highly dynamic scenarios. Results obtained using OMNeT++ show the effectiveness of the proposed approach under realistic vehicular mobility and attack circumstances. Simulation outcomes are valid for the proposed quantum-inspired trust-aware routing algorithm to be optimal for secure V2V communication: when attacker nodes are produced, highest-performing packet delivery ratio and robustness in comparison to TCOR, TCOR-Rec and conventional routing protocols.