Energy consumption optimization method of unmanned aerial vehicle hierarchical mobile edge computing network based on game theory

Abstract

The invention discloses an energy consumption optimization method for an unmanned aerial vehicle hierarchical mobile edge computing network based on a game theory, and the method comprises the following steps: 1, building an unmanned aerial vehicle hierarchical mobile edge computing scene, analyzing and deducing a cost function when alliance members carry out local computing and task unloading, and taking a cost function when the alliance header as a relay and a service provider; 2, modeling the energy consumption problem of the unmanned aerial vehicle layered mobile edge computing network as a Steinberg game model; 3, solving the optimal strategy of the upper and lower unmanned aerial vehicles by using a hierarchical iterative learning algorithm based on logarithmic linearity-optimal response, so that the lower unmanned aerial vehicle alliance members obtain the optimal channel selection, and the upper unmanned aerial vehicle alliance head obtains the optimal position selection and role selection. According to the game theory-based energy consumption optimization method for the unmanned aerial vehicle hierarchical mobile edge computing network, the network consumption can be effectively reduced, and the cruising ability of the unmanned aerial vehicle hierarchical mobile edge computing network is improved.

Description

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AI Technical Summary

Benefits of technology

This technology uses games that have been trained by computer scientists called Games Theater Networks (GTN) or Unmanned Aerial Vehicles (UAV). These computers communicate through wireless communication channels between them. They work together like an unlimited machine without being limited by their own power supply. By doing this they help create more efficient ways for robots to move around within complex environments such as urban areas. Overall, it helps save time and resources while still providing accurate data from sensors attached to these systems.

Problems solved by technology

This patented technical solution described by this patents allows drones to work together with other machines without being limited their own capabilities due to limitations such as battery life. However, current methods are often time-consuming and require significant resources at each machine level.

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