QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management DOI Creative Commons
Boonyarith Saovapakhiran,

Wibhada Naruephiphat,

Chalermpol Charnsripinyo

et al.

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 84579 - 84621

Published: Jan. 1, 2022

Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT service providers (SPs) are emerging the market and competing to offer their services. Many applications utilize these an integrated manner with different Quality-of-Service (QoS) requirements. Thus, provisioning end-to-end QoS is getting more indispensable for platforms. However, system by using only metrics without considering user experiences not sufficient. Recently, Quality Experience (QoE) model has become a promising approach quantify actual A holistic design that considers constraints various QoS/QoE together needed satisfy requirements Besides, may operate environments limited resources. Therefore, effective management resources essential support. This paper provides comprehensive survey state-of-the-art studies on perspective. Our contributions threefold: (1) QoE-driven architecture demonstrated classifying vital components according QoE-related functions prior studies, (2) QoE optimization objectives classified corresponding resource control problems architecture, (3) QoE-aware e.g., offloading, placement data caching policies Machine Learning approaches extensively reviewed.

Language: Английский

A Binary Gray Wolf Optimization algorithm for deployment of Virtual Network Functions in 5G hybrid cloud DOI

Mohammad Shahjalal,

Nusrat Farhana, Palash Roy

et al.

Computer Communications, Journal Year: 2022, Volume and Issue: 193, P. 63 - 74

Published: June 30, 2022

Language: Английский

Citations

20
Evolution of Hybrid LiFi–WiFi Networks: A Survey DOI Creative Commons
Toni Besjedica, Krešimir Fertalj, Vlatko Lipovac

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(9), P. 4252 - 4252

Published: April 25, 2023

Given the growing number of devices and their need for internet access, researchers are focusing on integrating various network technologies. Concerning indoor wireless services, a promising approach in this regard is to combine light fidelity (LiFi) (WiFi) technologies into hybrid LiFi WiFi (HLWNet). Such benefits from LiFi’s distinct capability high-speed data transmission wide radio coverage offered by In paper, we describe framework HWLNet architecture, providing an overview handover methods used HLWNets presenting basic architecture LiFi/WiFi networks, optimization cell deployment, relevant modulation schemes, illumination constraints, backhaul device design. The survey also reviews performance recent achievements compared legacy networks with emphasis signal noise interference ratio (SINR), spectral power efficiency, quality service (QoS). addition, user behaviour discussed, considering channel due movement, frequency, load balancing. Furthermore, advances positioning security presented, finally, directions network’s evolution foreseeable future discussed.

Language: Английский

Citations

11
A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment DOI Creative Commons

G. Senthilkumar,

K. N. Madhusudhan,

Y. Jeyasheela

et al.

Automatika, Journal Year: 2024, Volume and Issue: 65(3), P. 973 - 982

Published: March 12, 2024

Large amounts of processing resources are required for the sensed raw big data during generation process. Furthermore, as typically privacy sensitive, blockchain technology can be used to ensure concerns. This study examines a multiuser mobile offloading network that consists cloud server located remotely and an edge node. We formulate problem joint optimization task decision making all users, computation resource allocation among executing applications, radio assignment remote-processing applications. The goal is minimize maximum weighted cost users. When compared other benchmark approaches, simulation results show proposed algorithm achieves optimal in terms both energy consumption delay result collaboration. Finally strategy with 93% efficiency obtained.

Language: Английский

Citations

4
A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study DOI Creative Commons

Ahmed A. Ismail,

Nour Eldeen M. Khalifa, Reda A. El-Khoribi

et al.

Cluster Computing, Journal Year: 2025, Volume and Issue: 28(3)

Published: Jan. 21, 2025

Language: Английский

Citations

0
QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management DOI Creative Commons
Boonyarith Saovapakhiran,

Wibhada Naruephiphat,

Chalermpol Charnsripinyo

et al.

IEEE Access, Journal Year: 2022, Volume and Issue: 10, P. 84579 - 84621

Published: Jan. 1, 2022

Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT service providers (SPs) are emerging the market and competing to offer their services. Many applications utilize these an integrated manner with different Quality-of-Service (QoS) requirements. Thus, provisioning end-to-end QoS is getting more indispensable for platforms. However, system by using only metrics without considering user experiences not sufficient. Recently, Quality Experience (QoE) model has become a promising approach quantify actual A holistic design that considers constraints various QoS/QoE together needed satisfy requirements Besides, may operate environments limited resources. Therefore, effective management resources essential support. This paper provides comprehensive survey state-of-the-art studies on perspective. Our contributions threefold: (1) QoE-driven architecture demonstrated classifying vital components according QoE-related functions prior studies, (2) QoE optimization objectives classified corresponding resource control problems architecture, (3) QoE-aware e.g., offloading, placement data caching policies Machine Learning approaches extensively reviewed.

Language: Английский

Citations

18