Joint Delay and Energy Optimization for WPT-MEC System Based on Immune Algorithm

In some production workshops, because the space is too small to be suitable for the layout of the equipment charging device, the joint application of mobile edge computing (MEC) and wireless power transfer (WPT) can solve such problems. However, this scenario has a double near-far effect that is unfair to terminal devices far away from edge servers and energy transfer stations, so this paper considers relay collaboration among devices when computing offloading. This paper uses the frequency division multiple access (FDMA) technology to enable multiple terminals to perform tasks offloading simultaneously. In this paper, the total communication delay and total energy consumption of the system are optimized through effective computing resources scheduling and reasonable tasks allocation, which is a weighting and minimizing problem of normalized system delay and energy consumption rate, and also a NP-hard problem. This paper improves the immune algorithm (IA) in the scenario of multi-server and multi-terminal to obtain the Q-IADE algorithm. The improved Q-IADE algorithm not only has the characteristics of wide application, but also further improves the global search ability, which can better solve the problems we raised. Finally, the simulation results show that the proposed Q-IADE algorithm has strong global search ability and stable convergence effect, and the algorithm performance is superior to the other three comparison algorithms, especially when relay offloading can be performed.