Call For Papers for the Special Issue on “Enabling Mobile Computing and Cognitive Networks through Artificial Intelligence”

Originally posted in Sec-IG blog (link to the original post)

The advent of new wireless technologies such as mobile cloud computing (MCC), Internet of Things (IoT), and mobile edge computing (MEC) have increased expectations for optimal and reliable resource management of mobile web traffic. Cognitive Networking (CN) refers to networking that follows three basic principles: (1) observation and awareness, (2) cognition, and (3) reconfiguration. An important use case of CN would be to use artificial intelligence (AI) to make optimal spectrum decisions and reconfigure a cognitive radio network. In this application, it is also possible to use CN principles in mobile computing to provide better computational support for mobile users.
In this special issue, we focus on the new problems involving AI-based concepts in CN for mobile devices such as: machine learning for spectrum decision, mobile computing, edge analytics, predictive modeling, and resource management especially in video streaming. We invite submissions of high-quality articles for publication in the website of IEEE Communication Society: Cognitive Network Security Special Interest Group. Articles must be at least 500 words long with unlimited number of figures and references. The due date for submission of articles is January 15th.
The topics in this call include but are not limited to the following areas:

  • Machine learning based strategies for mobile computing
  • Cognition-based networking using Artificial Intelligence (AI)
  • Spectrum-awareness in Mobile Edge Computing (MEC)
  • Dynamic spectrum access and management in Mobile Cloud Computing (MCC)
  • Convergence of cognitive networking and cognitive computing
  • The era of cognitive mobile networking in Internet of Things (IoT) and Internet of Everything (IoE)
  • Cognitive radio realities in mobile computing
  • Data Analytics and Predictive Modeling in mobile CRN
  • Mobility in computation offloading
  • Optimization and resource management of CRNs in MCC and MEC environments
  • Real-time video streaming using mobile CRN
  • Mobile analytics and measurements for (emotion, object, pattern) recognition applications in CRN

Please e-mail manuscripts as  tex or word attachments, and illustrations as a jpg, png, pdf or gif attachment, to:

Eman Mahmoodi
Guest Editor
smahmood@stevens.edu

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