Hui Ernest, T. Z., & Madhukumar, A. S. (2023, June). An Energy Efficiency Analysis of Computation Offloading in MEC-Enabled IoV Networks. 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). https://doi.org/10.1109/vtc2023-spring57618.2023.10201046
Abstract:
The average energy efficiency of computation offloading in multi-access edge computing (MEC) enabled Internet-of-Vehicles (IoV) networks with wired backhaul links is investigated in this paper. Specifically, the cumulative distribution function (CDF) for computation delay over wired backhaul link is derived in closed-form. The average energy efficiency of computation offloading in MEC-enabled IoV networks with wired backhaul links is derived in closed-form, and is compared against non MEC-enabled IoV networks with wired backhaul links. Numerical and simulation results show that MEC-enabled IoV networks can attain at least 10 times higher energy efficiency than non MEC-enabled IoV networks. Furthermore, we show that energy efficiency can be maximized through the proper selection of task size and transmission deadline in the MEC-enabled IoV network.
License type:
Publisher Copyright
Funding Info:
This research is supported by core funding from: A*STAR Advanced Remanufacturing and Technology Centre (ARTC)
Grant Reference no. : N/A