Simulation-driven optimization of complex engineering systems increasingly demands intelligent frameworks capable of replacing exhaustive parameter sweeps with rapid, learned predictions. This paper presents a general surrogate optimization framework that couples high-fidelity simulation with a machine learning regression model to predict system performance and select optimal configurations without exhaustive re-simulation. Fiber-optic dispersion compensation is adopted as a representative benchmark: selecting the optimal placement strategy for dispersion-compensating fiber (DCF)-pre-, post-, or symmetrical-across varying system parameters is computationally expensive, making it an ideal t... More >

The Internet of Vehicles (IoV) is a core component of smart transportation systems, making it feasible to exchange information among vehicles, infrastructure, and central systems in real time. However, the effective use of resources and the efficient distribution of tasks in these dynamic environments is a challenging task. This paper presents a blockchain-based collaborative task allocation framework method that can solve these problems by using a greedy algorithm for general task allocation and adopting a dynamic collaboration scheduling algorithm for emergent tasks. Employing the blockchain-based reward mechanism, the transparency, fairness, and security in dynamic mobile crowdsensing (MC... More >

The Internet of Vehicles (IoVs) is an emerging technology that enhances transportation systems by enabling interactions between vehicles, infrastructure, and other entities. Securing IoV networks from cyber threats like eavesdropping, data tampering, and intrusions is a major challenge. This research presents a Blockchain-Enabled Secure Authentication Protocol for IoVs (BESA-IOV), which leverages blockchain’s decentralized and tamper-resistant nature for secure communication in vehicular networks. By utilizing ECC-based lightweight cryptography and blockchain-based public key management, it ensures strong authentication, confidentiality, and integrity. The results show that BESA-IOV signif... More >