Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 19, Issue 2 (2008)
  4. Energy Cost Optimization by Adequate Tra ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Cited by
  • More
    Article info Cited by

Energy Cost Optimization by Adequate Transmission Rate Dividing in Wireless Communication System
Volume 19, Issue 2 (2008), pp. 191–200
Reu-Ching Chen   Chen-Sung Chang  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2008.208
Pub. online: 1 January 2008      Type: Research Article     

Received
1 March 2007
Published
1 January 2008

Abstract

Energy cost is the main constraint in modern wireless communication system. A powerful scheme due to optimal energy cost is provided for a single node server in this paper. In wireless communications, the total energy for transmitting packets can be reduced by proper regulating the service rate due to different packet sizes. In our study, a generic method applying the Lagrange Multiplier methods for optimizations is proposed. We show the energy cost is a convex function and it is easy to achieve the optimization. Our contribution focused on minimizing the total energy cost induced by the transmission energy in a single server with multi-queues. The methodology presented in this paper can effectively save the energy cost due to energy consumption in wireless communication systems.

Cited by PDF XML
Cited by PDF XML

Copyright
No copyright data available.

Keywords
Lagrange multiplier capacity ratio reliable transmission optimal energy cost

Metrics
since January 2020
708

Article info
views

0

Full article
views

410

PDF
downloads

180

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy