Detailed Information

Cited 8 time in webofscience Cited 9 time in scopus
Metadata Downloads

Secure and Reliable Resource Allocation and Caching in Aerial-Terrestrial Cloud Networks (ATCNs)

Authors
Sharma, VishalYou, IlsunSeo, Jung TaekGuizani, Mohsen
Issue Date
Jan-2019
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Security; reliability; content caching; ATCNs; STINs; cog-chain
Citation
IEEE ACCESS, v.7, pp.13867 - 13881
Journal Title
IEEE ACCESS
Volume
7
Start Page
13867
End Page
13881
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/80205
DOI
10.1109/ACCESS.2019.2893775
ISSN
2169-3536
Abstract
Aerial-terrestrial cloud networks (ATCNs), global integration of air and ground communication systems, pave a way for a large set of applications such as surveillance, on-demand transmissions, data-acquisition, and navigation. However, such networks suffer from crucial challenges of secure and reliable resource allocation and content-caching as the involved entities are highly dynamic and there is no fine-tuned strategy to accommodate their connectivity. To resolve this quandary, cog-chain, a novel paradigm for secure and reliable resource allocation and content-caching in ATCNs, is presented. Various requirements, key concepts, and issues with ATCNs are also presented along with basic concepts to establish a cog-chain in ATCNs. Feed and fetch modes are utilized depending on the involved entities and caching servers. In addition, a cog-chain communication protocol is presented which avails to evaluate the formation of a virtual cog-chain between the nodes and the content-caching servers. The efficacy of the proposed solution is demonstrated through consequential gains observed for signaling overheads, computational time, reliability, and resource allocation growth. The proposed approach operates with the signaling overheads ranging between 30.36 and 303.6 bytes*hops/sec and the formation time between 186 and 195 ms. Furthermore, the overall time consumption is 83.33% lower than the sequential-verification model and the resource allocation growth is 27.17% better than the sequential-verification model.
Files in This Item
There are no files associated with this item.
Appears in
Collections
IT융합대학 > 컴퓨터공학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher SEO, JUNGTAEK photo

SEO, JUNGTAEK
College of IT Convergence (컴퓨터공학부(스마트보안전공))
Read more

Altmetrics

Total Views & Downloads

BROWSE