The Journal of Supercomputing

, Volume 75, Issue 4, pp 1894–1908 | Cite as

Optimal solution to intelligent multi-channel wireless communications using dynamic programming

  • Hui Zhao
  • Meikang QiuEmail author
  • Keke Gai
  • Xin He


With the booming increase of networking-oriented technologies, the implementation of the intelligent data has become a fashionable alternative for enterprises or organizations to create values or improve their existing offerings. However, communications are encountering restrictions caused by the limited energy supplies in mobile computing when the volume of the data requiring wireless transmissions keeps growing in a dramatic manner. This paper focuses on saving energy consumptions in wireless communications and presents a novel optimal solution to deploying multi-channel connections with minimum energy costs. Our approach is called Intelligent Multi-Channel Communication model, which is created to minimize the total energy cost when ensuring the performance meets efficiency demands. We implement experimental evaluations to examine the effectuation of our approach and find that the results meet our design expectations.


Multi-channel communication Dynamic programming Intelligent data Optimal solution 


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Intelligent Network SystemHenan UniversityKaifengChina
  2. 2.College of Computer Science and Software EngineeringShenzhen UniversityShenzhenChina
  3. 3.Electrical Engineering DepartmentColumbia UniversityNew York CityUSA
  4. 4.School of Computer Science and TechnologyBeijing Institute of TechnologyBeijingChina
  5. 5.Software SchoolHenan UniversityKaifengChina

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