Design of an Efficient Cooperative Spectrum for Intra-Hospital Cognitive Radio Network
- Abhinav Adarsh1, Basant Kumar1, Manoj Gupta2, Arun Kumar2, Aman Singh3,*, Mehedi Masud4, Fahad A. Alraddady5
1 Department of ECE, MNNIT Allahabad, Prayagraj, 211004, India
2 Department of ECE, JECRC University, Jaipur, 303905, India
3 Computer Science and Engineering, Lovely Professional University, Punjab, 144411, India
4 Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia
5 Department of Computer Engineering, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia
* Corresponding Author: Aman Singh. Email:
2 Department of ECE, JECRC University, Jaipur, 303905, India
3 Computer Science and Engineering, Lovely Professional University, Punjab, 144411, India
4 Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia
5 Department of Computer Engineering, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia
* Corresponding Author: Aman Singh. Email:
Received 01 February 2021; Accepted 05 March 2021; Issue published 04 June 2021
Abstract
This paper presents a new low delay centralized cooperative spectrum sensing method based on dynamic voting rule using multiple threshold level, for indoor hospital environment, where fading and direct path loss both are together responsible for variation in signal strength. In the proposed algorithm, weights of Cognitive Radios (CRs) in terms of assigned vote-count are estimated based on the sensed energy values with respect to multiple fixed threshold levels, so that the direct path loss can be dealt without further increasing the error, which occurs due to fading. For indoor hospital like environment, Rician fading model is more appropriate. Therefore, formulation, evaluation and analysis of various sensing performance parameters have been carried out considering Rician fading model. Comparative analysis and trade-off among three optimum parameters-energy threshold, total number of CRs participating in sensing and total error rate, are presented with respect to signal to noise ratio (SNR). Finally, the Monte Carlo simulation is designed and implemented considering the two conditions-only fading environment and fading along with direct path loss environment. It can be observed that in both cases, the proposed spectrum sensing rule outperforms the other contemporary rules.
Keywords
Cognitive radio; direct path loss; spectrum sensing; health care
Cite This Article
A. Adarsh, B. Kumar, M. Gupta, A. Kumar, A. Singh et al., "Design of an efficient cooperative spectrum for intra-hospital cognitive radio network," Computers, Materials & Continua, vol. 69, no.1, pp. 35–49, 2021.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.