Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.723
2023
Details
- Autor(en) / Beteiligte
- Titel
- Secrecy Energy Efficiency Enhancement in UAV-Assisted MEC System
- Ist Teil von
- Sensors (Basel, Switzerland), 2023-01, Vol.23 (2), p.723
- Ort / Verlag
- Switzerland: MDPI AG
- Erscheinungsjahr
- 2023
- Link zum Volltext
- Quelle
- EZB Electronic Journals Library
- Beschreibungen/Notizen
- A secrecy energy efficiency optimization scheme for a multifunctional unmanned aerial vehicle (UAV) assisted mobile edge computing system is proposed to solve the computing power and security issues in the Internet-of-Things scenario. The UAV can switch roles between a computing UAV and jamming UAV based on the channel conditions. To ensure the security of the content and the system energy efficiency in the process of offloading computing tasks, the UAV trajectory, uplink transmit power, user scheduling, and offload task are jointly optimized, and an updated-rate assisted block coordinate descent (BCD) algorithm is used. Simulation results show that this scheme efficiently improves the secrecy performance and energy efficiency of the system. Compared with the benchmark scheme, the secrecy energy efficiency of the scheme is improved by 38.5%.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1424-8220eISSN: 1424-8220DOI: 10.3390/s23020723Titel-ID: cdi_doaj_primary_oai_doaj_org_article_8f8bf5aff4e14923b785793184fb131f
- Format
- –
- Schlagworte
- Algorithms, Benchmarking, Communications systems, Computer Simulation, Conservation of Energy Resources, convex optimization algorithm, Energy consumption, Energy efficiency, Internet of Things, Jamming, mobile edge computing, Optimization, Quality of service, Scheduling, secrecy energy efficiency, Sensors, Task scheduling, Unmanned Aerial Devices, unmanned aerial vehicle communication, Unmanned aerial vehicles