Cognitive computation and communication: A complement solution to cloud for IoT

Van Tam Nguyen, Nhan Nguyen-Thanh, Lita Yang, Duy H.N. Nguyen, Chadi Jabbour, Boris Murmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Internet of Thing (IoT) is experiencing explosive growth in the number of devices and applications. However, the existing cloud-centric architecture of IoT poses serious challenges regarding network latency, privacy, and energy-efficiency. We have presented COGNICOM+ concept, a brain-inspired software-hardware paradigm, to support IoT's future growth and developed 4 research directions - flexible radio, convolutional neural network accelerator, compressed deep learning, and game theory for reasoning and collaboration - within COGNICOM+. The key idea is to bring computing closer to the end-user while focusing on optimal uses of local smart application gateway and cloud computing. COGNICOM+ consists of two key components: Cognitive Engine (CE) and Smart Connectivity (SC). The cognitive engine is powered by deep-learning algorithms integrated with game-Theoretic decision analytics, implemented on a low-power application-specific integrated circuit. It provides cognitive functions to smart objects. The smart connectivity integrates neural network inspired designs of cognitive radio, transceivers, and baseband processors. The SC provides flexible and reliable connections to IoT objects and optimally distributes communication resources.

Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Advanced Technologies for Communications, ATC 2016
PublisherIEEE Computer Society
Pages222-230
Number of pages9
ISBN (Electronic)9781509027101
DOIs
Publication statusPublished - 1 Dec 2016
Externally publishedYes
Event9th International Conference on Advanced Technologies for Communications, ATC 2016 - Hanoi, Viet Nam
Duration: 12 Oct 201614 Oct 2016

Publication series

NameInternational Conference on Advanced Technologies for Communications
ISSN (Print)2162-1039
ISSN (Electronic)2162-1020

Conference

Conference9th International Conference on Advanced Technologies for Communications, ATC 2016
Country/TerritoryViet Nam
CityHanoi
Period12/10/1614/10/16

Keywords

  • CNN accelerator
  • COGNICOM
  • Cognitive engine
  • Compressed CNN
  • Deep learning
  • Flexible radio
  • Game theory
  • IoT
  • Smart application gateway
  • Smart connectivity

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