SDN辅助与博弈激励的多跳任务卸载策略OA

Multi-hop task offloading expands the collaboration range and improves resource utilization and scheduling flexibi-lity in edge networks,whereas one-hop offloading remains constrained by communication distance and limited available resources,making it inadequate under high-load conditions.However,multi-hop offloading introduces strong coupling between path selection and computation allocation,and idle devices lack incentives to contribute computing or forwarding capabilities.To address these challenges,this paper developed a centralized SDN-based cooperative offloading framework that leveraged global network visibility to jointly optimize communication and computation resources,and incorporated a task-priority mecha-nism to alleviate link contention in multi-task scenarios.In addition,this paper designed a Stackelberg game-based pricing model to incentivize idle devices to participate in computation and forwarding,thereby jointly improving delay and energy per-formance.Building on this framework,this paper proposed the BGLS-PPO algorithm,which integrated a one-step Bellman-based look-ahead estimate into the action selection process to enhance exploration efficiency and convergence stability.Simula-tion results demonstrate that multi-hop offloading significantly outperforms one-hop schemes in overall system utility,and the proposed method exhibits superior adaptability and robustness compared with existing baselines.