Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Daniela M. Martínez"'
Publikováno v:
Alexandria Engineering Journal, Vol 66, Iss , Pp 619-632 (2023)
Spectrum sensing involves identifying the unused license bands in Cognitive Radio Networks. Energy Detection (ED) is the most widely studied form of spectrum sensing. ED detects potentially unknown signals and it is mainly characterized by its low co
Externí odkaz:
https://doaj.org/article/06545afed85249b88a4bfffbdbc7f742
Autor:
Anabel Martínez-Vargas, Gabriela L. Rodríguez-Cortés, Daniela M. Martínez, M. A. Cosío-León, Oscar Montiel-Ross
Publikováno v:
2021 Mexican International Conference on Computer Science (ENC).
Mobile communications play a critical role in the flow of information during an emergency scenario. The victims and first responders should have a reliable network to ask for help; or coordinate search and rescue operations. In these scenarios, the c
Publikováno v:
IETE Technical Review. 37:91-97
Due to its robustness to noise uncertainty, Entropy-Based Spectrum Detection (EnBD) has been proposed to sense primary transmissions in cognitive radio networks. Based on the histogram meth...
Publikováno v:
IEEE Access, Vol 6, Pp 64828-64835 (2018)
In this paper, the evaluation of a spectrum sensing strategy based on the frequency domain entropy applied to cognitive radio networks is presented. Entropy estimation is performed using Bartlett periodogram. A tradeoff between variance and the spect
Autor:
Joaquin Abellan-Garcia, Daniela M. Martinez, M. Iqbal Khan, Yassir M. Abbas, Francisco Pellicer-Martínez
Publikováno v:
Journal of Materials Research and Technology, Vol 25, Iss , Pp 1869-1881 (2023)
The issue of environmental pollution is one of the most pressing concerns today. A number of measures need to be taken to reduce the effects of waste materials such as rice husks, glass, plastic, and other types of materials on the environment. A sig
Externí odkaz:
https://doaj.org/article/a3a01b88cf6e4419a54bb66167ca5eae
Publikováno v:
Sustainability, Vol 10, Iss 10, p 3661 (2018)
Sustainability
Volume 10
Issue 10
Sustainability
Volume 10
Issue 10
As sustainable development has emerged as a priority on the international agenda, increasing emphasis has been placed on &ldquo
Life Cycle Sustainability Assessment (LCSA),&rdquo
wherein environmental, economic, and social performance are c
Life Cycle Sustainability Assessment (LCSA),&rdquo
wherein environmental, economic, and social performance are c
Autor:
Ángel G. Andrade, Daniela M. Martínez
Publikováno v:
International Journal of Electronics. 102:1177-1189
The reliability of wireless sensor networks (WSNs) in industrial applications can be thwarted due to multipath fading, noise generated by industrial equipment or heavy machinery and particularly by the interference generated from other wireless devic
Autor:
Daniela M. Martínez, Ángel G. Andrade
Publikováno v:
IET Communications. 7:1117-1125
In this work, the authors present the evaluation of energy detection (ED) based on the Welch's periodogram for spectrum sensing applied to cognitive radio networks. The authors analyse the impact of the number of points in the discrete Fourier transf
Autor:
Ángel G. Andrade, Daniela M. Martínez
Publikováno v:
PIMRC
For its simplicity and ease of implementation, Energy detection (ED) is attractive for spectrum sensing in cognitive radio (CR) systems. In ED, the energy captured is compared against a fixed detection threshold, which is estimated as a function of t
Autor:
Ángel G. Andrade, Daniela M. Martínez
Publikováno v:
International Journal of Communication Systems. 30:e2907
SUMMARY Because of its ease of implementation and minimum requirements about the primary signals' information, energy detection is broadly considered for signal detection in spectrum sensing algorithms. However, the noise uncertainty phenomenon, caus