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Mobile Cloud Computing in Wireless Networks and IoT

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (25 March 2023) | Viewed by 3051

Special Issue Editors


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Guest Editor
Department Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan
Interests: cloud computing; sensor networks; big data analytics; high performance computing; parallel and distributed systems; artificial intelligence; medical AI
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan
Interests: mobile cloud computing; edge/fog computing; 5G/6G networks; machine learning; IoT; network function virtualizations; wireless communications

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Guest Editor
Computer Science Department, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: mobile computing edge computing

Special Issue Information

Dear Colleagues,

With the emergence of new network generations, there is a growing desire for innovation and agility in wireless communication systems. The use of distributed virtualized environments like cloud-native technologies (i.e., cloud, edge, and fog computing) fosters new approaches to solve challenges in 5G networks, and it is envisioned to affect the emerging 6G networks.

Mobile cloud computing (MCC) is a distributed paradigm that integrates cloud computing technology and user equipment (UE) to extend the battery lifetime and increase application performance. It also provides the infrastructure to support data processing and storage through cloud-native capabilities.

Although conventional MCC was proposed to provide data processing outside the UEs, it may face several challenges to meet the requirements of ever-increasing IoT requests, latency-sensitive machine learning (ML), cyber-physical systems (CPSs), mobile robotics, and edge artificial intelligence (Edge-AI) applications. With the rapid growth of IoT and MCC comes an exciting new frontier for innovations, especially when the computation power of IoT devices grows.

However, growing use cases like holographic communication demand high computation and communication resources as well as related facilities. So, one of the controversial questions which is arising is how MCC can enable such emerging computation- and communication-intensive applications.

This Special Issue encourages authors from academia and industry to submit new research results relating to advanced technological innovations in mobile cloud computing in wireless networks and IoT.

Prof. Dr. Ching-Hsien Hsu
Dr. Hojjat Baghban
Dr. Mengwei Xu
Guest Editors

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Keywords

  • mobile cloud computing
  • intelligent IoT
  • edge artificial intelligent (edge-AI)
  • intelligent holographic communications
  • holographic mobile cloud
  • 5G/6G networks
  • smart wireless computing
  • smart network orchestration
  • cyber physical systems
  • digital mobility

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Published Papers (1 paper)

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Research

27 pages, 4842 KiB  
Article
Cluster-Based Multi-User Multi-Server Caching Mechanism in Beyond 5G/6G MEC
by Rasha Samir, Hadia El-Hennawy and Hesham Elbadawy
Sensors 2023, 23(2), 996; https://doi.org/10.3390/s23020996 - 15 Jan 2023
Cited by 4 | Viewed by 2161
Abstract
The work on perfecting the rapid proliferation of wireless technologies resulted in the development of wireless modeling standards, protocols, and control of wireless manipulators. Several mobile communication technology applications in different fields are dramatically revolutionized to deliver more value at less cost. Multiple-access [...] Read more.
The work on perfecting the rapid proliferation of wireless technologies resulted in the development of wireless modeling standards, protocols, and control of wireless manipulators. Several mobile communication technology applications in different fields are dramatically revolutionized to deliver more value at less cost. Multiple-access Edge Computing (MEC) offers excellent advantages for Beyond 5G (B5G) and Sixth-Generation (6G) networks, reducing latency and bandwidth usage while increasing the capability of the edge to deliver multiple services to end users in real time. We propose a Cluster-based Multi-User Multi-Server (CMUMS) caching algorithm to optimize the MEC content caching mechanism and control the distribution of high-popular tasks. As part of our work, we address the problem of integer optimization of the content that will be cached and the list of hosting servers. Therefore, a higher direct hit rate will be achieved, a lower indirect hit rate will be achieved, and the overall time delay will be reduced. As a result of the implementation of this system model, maximum utilization of resources and development of a completely new level of services and innovative approaches will be possible. Full article
(This article belongs to the Special Issue Mobile Cloud Computing in Wireless Networks and IoT)
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