Title
Fog-aided wireless networks for content delivery: A file-level carrier sensing based approach.
Abstract
We investigate a novel file-level carrier sensing based content delivery (FL-CSBCD) protocol to accommodate the transmission of multimedia files in fog-aided wireless networks. Particularly, the proposed FL-CSBCD protocol contains two phases, i.e., the file contention phase and the communication contention phase. The file contention phase aims to resolve the contentions among the requested multimedia files at each fog user equipments (F-UEs), such that the cache-hit performance is maximized. The communication contention phase is designed to resolve the collisions among concurrent content deliveries of the same file, such that the mutual interference can be suppressed. By modeling the fog-aided wireless networks with Poisson point process, we capture the density of active F-UEs, and evaluate the successful content delivery probability (SCDP) with the FL-CSBCD protocol. We show by simulations that the FL-CSBCD protocol can enhance the cache-hit performance while guarantee the coverage probability of content delivery.
Year
DOI
Venue
2019
10.1016/j.ins.2019.05.036
Information Sciences
Keywords
Field
DocType
Fog-aided wireless networks,File-level contention based multimedia delivery protocol
Wireless network,Content delivery,Computer network,Artificial intelligence,Interference (wave propagation),Poisson point process,Coverage probability,Mathematics,Machine learning
Journal
Volume
ISSN
Citations 
497
0020-0255
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Xiaoshi Song1317.41
Mengying Yuan202.03
Chao Jia3318.44
Ning Ye401.01
Weimin Lei52916.35