A bi-objective optimization model for the UAV caching at amusement parks in fog computing

Abstract

Unmanned Aerial Vehicle (UAV) is designed to provide low-latency and high-quality transmission with a UAV deployed nearby to serve ground users. UAVs can be used as effective flying base stations for a dynamic cache of popular content, tracking user mobility patterns to provide effective services to users. In this paper, we investigate a network consisting of a UAV as a fog node at amusement parks. We calculate the best location of UAV that is entitled geometric median, which is calculated using a Weiszfeld-type algorithm. We define a bi-objective function problem that simultaneously minimizes the caching energy consumption and maximizes the average service success. Then we use the Goal Programming method to solve it because our problem is non-convex. Finally, we found the best number of cache contents in UAV among Pareto front points with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method.