Journal of Electrical and Computer Engineering

Cognition Cloud Model for Next Generation Mobile Internet: Communication, Control, and Application


Publishing date
15 Apr 2016
Status
Published
Submission deadline
27 Nov 2015

Lead Editor

1Changshu Institute of Technology, Changshu, China

2University of Michigan, Ann Arbor, USA

3University of the West of Scotland, Paisley, UK


Cognition Cloud Model for Next Generation Mobile Internet: Communication, Control, and Application

Description

It is widely recognised that the next generation of mobile Internet has arrived, bringing with it great technical challenges and immense opportunities to enhance both our personal lives and work environments. The first big change in the transition to a new mobile Internet has been the proliferation of a large and increasingly diverse set of mobile services and applications where mobile data is produced by individuals and corporations using many different types of terminal and platform. Services have changed and multiplied to have the transmission networks over which mobile Internet data is acquired and transmitted.

Mobile Internet data transmission now is likely to originate from or pass through various heterogeneous networks such as wired networks, wireless networks, sensor networks, and Internet of Things. To accommodate this rapid development of next generation mobile Internet services and applications new reliable, trusted, and high performance cognition cloud model-based services for communication, control, and mobile computational services are required.

Using a cognition cloud model to improve next generation mobile Internet functionality will require improvements in the four key areas of communication, control, computing, and applications, specifically, how to provide satisfactory levels of Quality of Experience (QoE) (user-oriented), Quality of Protection (QoP) (user-oriented), and Quality of Service (QoS) (server-oriented) requirements in a manner that satisfies both users and service providers. In next generation mobile Internet these challenges are particularly difficult given the huge diversity of mobile Internet devices (often with limited resources), heterogeneous networks, user diversity, and so on. Combining mobile Internet with a cognition cloud model offers opportunities to solve some of these issues and challenges in the next generation mobile Internet.

This special issue focuses on recent advances in transmission and computing schemes for mobile Internet services which make use of a cognition cloud model. Original, unpublished contributions and invited articles reflecting various aspects of next generation mobile Internet are encouraged.

Potential topics include, but are not limited to:

  • Architecture of mobile Internet services
  • Communication protocols based on cognition cloud models
  • Mobile service aware cooperative communication protocols
  • High performance QoS/QoE/QoP guarantee schemes with cognition cloud model
  • Mobile Internet service aware cloud devices
  • Cloud control schemes on mobile wireless sensor networks
  • Next generation mobile Internet data processing and computing protocols
  • Security policy and enforcement issues for mobile Internet service
  • Control platforms and developed models for next generation mobile Internet

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 7578298
  • - Editorial

Cognition Cloud Model for Next Generation Mobile Internet: Communication, Control, and Application

Yong Jin | Chaobo Yan | James Nightingale
  • Special Issue
  • - Volume 2015
  • - Article ID 128691
  • - Research Article

Cooperative Cloud Service Aware Mobile Internet Coverage Connectivity Guarantee Protocol Based on Sensor Opportunistic Coverage Mechanism

Qin Qin | Yong-qiang He | Li-ming Nie
  • Special Issue
  • - Volume 2015
  • - Article ID 641062
  • - Research Article

Cooperative Optimization QoS Cloud Routing Protocol Based on Bacterial Opportunistic Foraging and Chemotaxis Perception for Mobile Internet

Shujuan Wang | Long He | Guiru Cheng
  • Special Issue
  • - Volume 2015
  • - Article ID 246420
  • - Research Article

User Utility Oriented Queuing Model for Resource Allocation in Cloud Environment

Zhe Zhang | Ying Li
  • Special Issue
  • - Volume 2015
  • - Article ID 143071
  • - Research Article

Regression Cloud Models and Their Applications in Energy Consumption of Data Center

Yanshuang Zhou | Na Li | ... | Yongqiang Zhang
  • Special Issue
  • - Volume 2015
  • - Article ID 357378
  • - Research Article

Cloud Platform Based on Mobile Internet Service Opportunistic Drive and Application Aware Data Mining

Ge Zhou
  • Special Issue
  • - Volume 2015
  • - Article ID 398709
  • - Research Article

QoE Guarantee Scheme Based on Cooperative Cognitive Cloud and Opportunistic Weight Particle Swarm

Weihang Shi
Journal of Electrical and Computer Engineering
 Journal metrics
Acceptance rate17%
Submission to final decision90 days
Acceptance to publication37 days
CiteScore2.900
Impact Factor-
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