TY - JOUR
T1 - Toward 6G architecture for energy-efficient communication in iot-enabled smart automation systems
AU - Sodhro, Ali Hassan
AU - Pirbhulal, Sandeep
AU - Luo, Zongwei
AU - Muhammad, Khan
AU - Zahid, Noman Zahid
N1 - Funding Information:
Manuscript received May 18, 2020; revised August 9, 2020; accepted September 2, 2020. Date of publication September 18, 2020; date of current version March 24, 2021. This work was supported in part by CAS President’s International Fellowship Initiative Project China under Grant 2020VBC0002; in part by Sukkur IBA University, Sukkur, Pakistan; in part by BNU Startup Research Fund; and in part by UIC Startup Research Fund. (Corresponding authors: Sandeep Pirbhulal; Luo Zongwei; Khan Muhammad.) Ali Hassan Sodhro is with the Computer and Information Science Department, Linköping University, 58183 Linköping, Sweden, also with the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China, and also with the Electrical Engineering Department, Sukkur IBA University, Sukkur 65200, Pakistan (e-mail: [email protected]).
Publisher Copyright:
© 2014 IEEE.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - Energy-efficient communication has become the center of attention from various interdisciplinary fields, such as industrial automation, healthcare, and transportation, among others. Besides, proliferation in the artificial intelligence (AI)-based sixth-generation (6G) technology for achieving the smart automation system has caught the attention of both academia and industry. Most of the intelligent automation systems are formed by IoT-based user terminal (UT) devices for multimedia (i.e., video, audio, image, and text) content delivery with high clarity and efficiency. Customer satisfaction/perception, i.e., Quality of Experience (QoE), is an essential factor to be analyzed because the Quality of Service (QoS) is not a suitable candidate to portray the feelings and expectations of users during multimedia transmission. Therefore, the energy-efficient, entropy-aware communication, and QoE analysis through IoT devices are the dire need. This article focuses on how the energy-efficient communication and user's QoE level can be captured through the UT device during multimedia transmission. Thus first, QoS-based joint energy and entropy optimization (QJEEO) algorithm is proposed. Second, the 6G-driven multimedia data structure model and framework are developed for modeling and evaluation of QoE with acquisition time. Third, the relationship between subjective test score (i.e., surveyed data) and objective performance metrics with mobility/speed of IoT-based devices for multimedia service is established. Fourth, the correlation model is proposed for integrating QoS parameters with estimated QoE perceptions. The experimental results indicate that QoE is modeled and evaluated with acquisition time and correlated with QoS parameter, i.e., packet loss ratio (PLR), and average transfer delay during energy-efficient multimedia transmission in 6G-based networks to improve the satisfaction level of customers.
AB - Energy-efficient communication has become the center of attention from various interdisciplinary fields, such as industrial automation, healthcare, and transportation, among others. Besides, proliferation in the artificial intelligence (AI)-based sixth-generation (6G) technology for achieving the smart automation system has caught the attention of both academia and industry. Most of the intelligent automation systems are formed by IoT-based user terminal (UT) devices for multimedia (i.e., video, audio, image, and text) content delivery with high clarity and efficiency. Customer satisfaction/perception, i.e., Quality of Experience (QoE), is an essential factor to be analyzed because the Quality of Service (QoS) is not a suitable candidate to portray the feelings and expectations of users during multimedia transmission. Therefore, the energy-efficient, entropy-aware communication, and QoE analysis through IoT devices are the dire need. This article focuses on how the energy-efficient communication and user's QoE level can be captured through the UT device during multimedia transmission. Thus first, QoS-based joint energy and entropy optimization (QJEEO) algorithm is proposed. Second, the 6G-driven multimedia data structure model and framework are developed for modeling and evaluation of QoE with acquisition time. Third, the relationship between subjective test score (i.e., surveyed data) and objective performance metrics with mobility/speed of IoT-based devices for multimedia service is established. Fourth, the correlation model is proposed for integrating QoS parameters with estimated QoE perceptions. The experimental results indicate that QoE is modeled and evaluated with acquisition time and correlated with QoS parameter, i.e., packet loss ratio (PLR), and average transfer delay during energy-efficient multimedia transmission in 6G-based networks to improve the satisfaction level of customers.
KW - Energy-efficient framework
KW - IoT
KW - sixth generation (6G)
KW - smart automation
KW - user terminal (UT) devices
U2 - 10.1109/JIOT.2020.3024715
DO - 10.1109/JIOT.2020.3024715
M3 - Article
AN - SCOPUS:85103339261
SN - 2327-4662
VL - 8
SP - 5141
EP - 5148
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 7
M1 - 9200376
ER -