Wireless Communications and Mobile Computing

Emerging Trends and Challenges in Mobile Edge Computing and Cloud-Aware Mobile Fog Computing


Publishing date
01 May 2022
Status
Closed
Submission deadline
24 Dec 2021

Lead Editor

1Federal Urdu University of Arts, Science and Technology, Islamabad, Pakistan

2Northumbria University, Newcastle, UK

3Charles Sturt University, Wagga Wagga, Australia

This issue is now closed for submissions.
More articles will be published in the near future.

Emerging Trends and Challenges in Mobile Edge Computing and Cloud-Aware Mobile Fog Computing

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Mobile fog computing (MFC) is an emerging multitier paradigm that integrates cloud computing towards the edge of the network. In particular, fog computing (FC) refers to a distributed computing infrastructure confined to a limited geographical area in which some applications or services exploit proximate end devices located at the edge of the network. The end user is able to perform offline computing at the fog layer so that only the important results need to be delivered to and stored in the cloud. Moreover, the dense geographical deployment characteristics of fog servers enables the system to be aware of the end user’s location.

Therefore, MFC applications along with the Internet of Things (IoT), are essential technical directions with applications in e-health, hospitals, smart homes, smart cities, smart supply chains, automation, and a variety of other computing and networking environments. Note that cloud-aware MFC is different from mobile edge computing (MEC), another interesting technology for overcoming the shortcomings of cloud computing (CC), since MFC is able to jointly work with the cloud, but MEC is usually defined by the exclusion of CC. Specifically, in MEC applications, data and services are available on the network edge, which enables the network edge to run in an isolated environment from the rest of the network and provides access to local resources and data. These features make the MFC paradigm suitable for context-aware, location-sensitive, intelligent, and real-time applications as it can be envisaged as an interface between the IoT and the cloud.

The design of efficient system architectures, transmission strategies, and protocols for MFC and the efficient analysis and evaluation of system performance are both essential. This Special Issue intends to collect cutting-edge research from both academia and industry, with an emphasis on addressing all these topics and inviting contributions from worldwide leading researchers. Both original research and review articles are welcomed.

Potential topics include but are not limited to the following:

  • Advances in soft computing for mobile edge computing and mobile fog computing applications
  • Quality of experience/quality of service for MEC and MFC
  • Networked computing architectures and infrastructures for MEC and MFC
  • Location aware/energy efficient solutions for MFC and MEC
  • Mobility management in cloud-aware mobile edge computing and MFC
  • Security, privacy, and trust in cloud-aware MEC and MFC
  • Transmission strategies in cloud-aware mobile edge computing and MFC
  • Resource allocation in cloud-aware mobile edge computing and MFC
  • Offloading/pre-push strategies in cloud-aware MFC
  • New data collection schemes and enhanced monitoring using IoT for MFC

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 7061588
  • - Research Article

A Novel Link-Network Assignment to Improve the Performance of Mobility Management Protocols in Future Mobile Networks

Jesús Calle-Cancho | Javier Carmona-Murillo | ... | David Cortés-Polo
  • Special Issue
  • - Volume 2022
  • - Article ID 2890473
  • - Research Article

Task Offloading and Scheduling Strategy for Intelligent Prosthesis in Mobile Edge Computing Environment

Ping Qi
  • Special Issue
  • - Volume 2021
  • - Article ID 8943862
  • - Research Article

Joint Load Balancing and Offloading Optimization in Multiple Parked Vehicle-Assisted Edge Computing

Xinyue Hu | Xiaoke Tang | ... | Shiyong Chen
  • Special Issue
  • - Volume 2021
  • - Article ID 6522089
  • - Research Article

NOMA and OMA-Based Massive MIMO and Clustering Algorithms for Beyond 5G IoT Networks

Taj Rahman | Feroz Khan | ... | Fawaz Alassery
  • Special Issue
  • - Volume 2021
  • - Article ID 8288836
  • - Research Article

Optimization Strategy of Task Offloading with Wireless and Computing Resource Management in Mobile Edge Computing

Xintao Wu | Jie Gan | ... | Yucheng Wu
  • Special Issue
  • - Volume 2021
  • - Article ID 4401809
  • - Research Article

Data Integrity Time Optimization of a Blockchain IoT Smart Home Network Using Different Consensus and Hash Algorithms

Ammar Riadh Kairaldeen | Nor Fadzilah Abdullah | ... | Rosdiadee Nordin
  • Special Issue
  • - Volume 2021
  • - Article ID 3740476
  • - Review Article

A Review of Big Data Resource Management: Using Smart Grid Systems as a Case Study

Muhammad Fawad Khan | Muhammad Azam | ... | Insaf Ullah
Wireless Communications and Mobile Computing
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.