Maximizing energy conservation in a centralized cognitive radio network architecture

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

doi:10.1109/CAMAD.2013.6708112

Maximizing energy conservation in a centralized cognitive radio network architecture

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

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013
Pages	175-179
Number of pages	5
DOIs	https://doi.org/10.1109/CAMAD.2013.6708112
Publication status	Published - 2013
Event	2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013 - Berlin, Germany Duration: 25 Sept 2013 → 27 Sept 2013

Other

Other	2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013
Country/Territory	Germany
City	Berlin
Period	25/09/13 → 27/09/13

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CAMAD.2013.6708112

Cite this

Mastorakis, G., Mavromoustakis, C. X., Bourdena, A., Kormentzas, G., & Pallis, E. (2013). Maximizing energy conservation in a centralized cognitive radio network architecture. In 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013 (pp. 175-179). Article 6708112 https://doi.org/10.1109/CAMAD.2013.6708112

@inproceedings{5e69ed0068774c21a9321108557538d1,

title = "Maximizing energy conservation in a centralized cognitive radio network architecture",

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.",

keywords = "Cognitive radio networks, Energy-efficient algorithms, Radio resource management, TV white spaces",

author = "George Mastorakis and Mavromoustakis, \{Constandinos X.\} and Athina Bourdena and Georgios Kormentzas and Evangelos Pallis",

year = "2013",

doi = "10.1109/CAMAD.2013.6708112",

language = "English",

isbn = "9781467349192",

pages = "175--179",

booktitle = "2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013",

note = "2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013 ; Conference date: 25-09-2013 Through 27-09-2013",

}

Mastorakis, G, Mavromoustakis, CX, Bourdena, A, Kormentzas, G & Pallis, E 2013, Maximizing energy conservation in a centralized cognitive radio network architecture. in 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013., 6708112, pp. 175-179, 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013, Berlin, Germany, 25/09/13. https://doi.org/10.1109/CAMAD.2013.6708112

Maximizing energy conservation in a centralized cognitive radio network architecture. / Mastorakis, George; Mavromoustakis, Constandinos X.; Bourdena, Athina et al.
2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013. 2013. p. 175-179 6708112.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Bourdena, Athina

AU - Kormentzas, Georgios

AU - Pallis, Evangelos

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

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KW - Energy-efficient algorithms

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KW - TV white spaces

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DO - 10.1109/CAMAD.2013.6708112

M3 - Conference contribution

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BT - 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013

T2 - 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013

Y2 - 25 September 2013 through 27 September 2013

ER -

Maximizing energy conservation in a centralized cognitive radio network architecture

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Keywords

UN SDGs

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