An influence factor based caching node selection algorithm in D2D networks
Tao Fang, Hua Tian, Yang Yang, Xin Liu, Ducheng Wu, Xueqiang Chen · 2017
This paper investigates the problem of caching node selection in D2D networks, in which there are some users or nodes to help others tansmit files. Every node can be a cache node to cache some files for others. We propose the concept of the influence factor which can be used to describe the similarity relationships of files between all nodes. Then we model the problems and redefine the user's overheads about getting files. To minimize the system overheads, we propose a caching node selection algorithm based on the influence factors. We mathematically analysis the effectiveness of this algorithm. The simulation results shows the proposed algorithm is better than the two intuitive algorithms in our envisioned scenario by the simulation.