Paper Info
Title
Artificial Intelligence based QoS optimization for multimedia communication in IoV systems
Abstract
Due to the advancements in multimedia communication in internet of vehicles (IoV) through emerging technologies i.e., WiFi, Bluetooth, and fifth generation (5G) etc. The critical challenge for IoV during multimedia communication in healthcare is the quality of experience (QoE) optimization by managing the mobility of wireless channel between vehicles. Besides, Artificial Intelligence (AI) based approaches have entirely changed the landscape of IoVs, also the portable devices for transmitting multimedia content in IoV system has become very necessary for the end-users in their respective fields. Most of the end users are facing is their annoyed and less satisfactory perspective about the quality they are experiencing i.e., QoE. If the service provisioning is not pleasant then most of the end-users/consumers give-up to continue, and finally market devaluates the overall performance of the devices, company or entire system. So remedy that problem this paper first proposes two novel algorithms named, Power-aware QoE Optimization (PQO) and Buffer-aware QoE Optimization (BQO) and compares their performance with the Baseline. Second proposes multimedia communication mechanism. Third, proposes the QoE optimization framework during multimedia communication in IoV system through portable devices. Besides, experimental results reveal that proposed PQO and BQO algorithms optimizes the QoE at (31%, 33.5%) with improved lifetime of portable devices at (25%, 27%) higher level than the Baseline (25%, 17) accordingly by satisfying the end-users. Hence, it is concluded that our proposed algorithms outperforms the Baseline, so can be considered as potential candidates for the IoV applications during multimedia communication.
Year
DOI
Venue
2019
10.1016/j.future.2018.12.008
Future Generation Computer Systems
Keywords
Field
DocType
AI,QoE,Multimedia communication,IoV,QoS,Optimization,PQOA,BQOA,Baseline
Wireless,End user,Computer science,Communication channel,Quality of service,Communications system,Artificial intelligence,Quality of experience,Multimedia,Bluetooth,The Internet
Journal
Volume
ISSN
Citations 
95
0167-739X
1
PageRank 
References 
Authors
0.36
22
6
Name
Order
Citations
PageRank
Ali Hassan Sodhro111210.16
Zongwei Luo229637.69
Gul Hassan Sodhro381.81
Muhammad Muzamal410.36
JOEL J. P. C. RODRIGUES53484341.72
Victor Hugo C. de Albuquerque691483.30