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Artificial Intelligence based QoS optimization for multimedia communication in IoV systems
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. Sukkur IBA Univ, Pakistan.
Southern Univ Sci and Technol, Peoples R China.
Shah Abdul Latif Univ, Pakistan.
Bahria Univ, Pakistan.
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2019 (English)In: Future generations computer systems, ISSN 0167-739X, E-ISSN 1872-7115, Vol. 95, p. 667-680Article in journal (Refereed) Published
Abstract [en]

Due to the advancements in multimedia communication in internet of vehicles (boy) through emerging technologies i.e., WiFi, Bluetooth, and fifth generation (5G) etc. The critical challenge for boy during multimedia communication in healthcare is the quality of experience (QoE) optimization by managing the mobility of wireless channel between vehicles. Besides, Artificial Intelligence (Al) 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 boy 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 boy applications during multimedia communication. (C) 2019 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2019. Vol. 95, p. 667-680
Keywords [en]
Al; QoE; Multimedia communication; IoV; QoS; Optimization; PQOA; BQOA; Baseline
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-157516DOI: 10.1016/j.future.2018.12.008ISI: 000465509600055OAI: oai:DiVA.org:liu-157516DiVA, id: diva2:1328792
Note

Funding Agencies|Higher Education Commission, Pakistan under the START-UP RESEARCH GRANT PROGRAM (SRGP) [21-1465/SRGP/RD/HEC/2016]; Sukkur IBA University, Sukkur, Sindh; Radio communication Reference Center (Centro de Referencia em Radiocomunicacoes CRR), Brazil project of the National Institute of Telecommunications (Institute Nacional de Telecomunicacoes - Inatel), Brazil [01.14.0231.00]; Brazilian National Council for Research and Development (CNPq), Brazil [309335/2017-5, 304315/2017-6, 430274/2018-1]; Natural Science Foundation of China [6171101169]; Guangdong Education Bureau Fund, China [2017KTSCX166]; Science and Technology Innovation Committee Foundation of Shenzhen, China [JCYJ20170817112037041, ZDSYS201703031748284]; SUSTech Startup Fund, China [Y01236215, Y01236115]

Available from: 2019-06-23 Created: 2019-06-23 Last updated: 2019-06-23

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