Energy Efficient Wireless Offloading Scheme Based on Lyapunov Optimization with Preservation of Secrecy and Privacy
Yang Sun, Na Li, Xiaofeng Tao · 2022 IEEE Wireless Communications and Networking Conference (WCNC) · 2022
Multi-access edge computing (MEC) architecture is emerging as a promising paradigm to improve the computing quality for mobile devices. Nevertheless, the offloading process of MEC encounters privacy and security problems. Independent protection for security and privacy will lead to different offloading policies which may contradict with each other. Besides, high unpredictability of channel information and the threaten of vicious edge nodes make it very challenging to offload securely. To address the problem about privacy and security, this paper proposes a Lyapunov-based privacy-aware secure offloading scheme. The scheme minimizes average energy consumption with known and unknown channel information of the eavesdropper. Lyapunov optimization is resorted to design an efficient online task offloading algorithm which can reduce the energy consumption under the strict security and privacy requirements. When compared to other schemes in the simulation, the proposed algorithm achieves fewer energy consumption and guarantees the security and the privacy in MEC offloading process.