Maximizing energy conservation in a centralized cognitive radio network architecture

George Mastorakis, Constandinos X. Mavromoustakis, Athina Bourdena, Georgios Kormentzas, Evangelos Pallis

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

Abstract

This paper proposes two energy-aware algorithms exploited for optimal resources administration and maximum energy conservation of secondary communication nodes in a centralized cognitive radio network architecture. The proposed algorithms optimally enable efficient TV White Spaces exploitation, through a radio spectrum broker that administrates the resources trading process, based on real-time secondary spectrum market policy. In addition, both algorithms adopt a joint path lifetime and utility maximization scheme, which encompasses a capacity-aware policy for achieving minimum energy consumption and reliability during the resource sharing process. Validity of both algorithms is verified through several sets of extended experimental/simulation tests, carried out under controlled conditions.

Original languageEnglish
Title of host publication2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013
Pages175-179
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013 - Berlin, Germany
Duration: 25 Sept 201327 Sept 2013

Other

Other2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013
Country/TerritoryGermany
CityBerlin
Period25/09/1327/09/13

Keywords

  • Cognitive radio networks
  • Energy-efficient algorithms
  • Radio resource management
  • TV white spaces

Fingerprint

Dive into the research topics of 'Maximizing energy conservation in a centralized cognitive radio network architecture'. Together they form a unique fingerprint.

Cite this