Current Volume 7
Energy Efficient Co-Operative Spectrum Sensing Based On D-S (Dempster-Shafer) Theory For Cognitive Vanet Network
Abstract
A cognitive radio (CR) is an intelligent radio transceiver proposed to utilize the optimum wireless channels in its vicinity. It automatically detects available channels in wireless spectrum, and then consequently changes its broadcast or reception parameters. Cognitive radio enabled vehicular ad hoc networks (CR-VANETs) is one of the promising architecture in the future VANETs. To deal with these issues, an energy-efficient co-operative spectrum sensing scheme is proposed which can select a representative sensor node set in Cognitive Radio Sensor Network (CRSN), under given constraints. The representative nodes set which consists of the nodes can provide gains for detecting the licensed users (LU) states is a subset of the nodes deployed in the network. Based on the spectrum detection information provided by the selected representative nodes, the D-S theory of evidence is employed to derive the activity states of LU while keeping the same spectrum sensing accuracy if not better. NS2 simulation results are provided to demonstrate the suitability of the CF-CPSC for scenarios of practical interest in CR-VANET
Keywords
Cognitive Radio Vehicular Adhoc Network (CR-VANET), Dempster-shafer (D-S), Licensed users (LU), Cognitive Radio Sensor Network (CRSN)
Citations
IRE Journals:
R. Asila , PROF. C. Meena
"Energy Efficient Co-Operative Spectrum Sensing Based On D-S (Dempster-Shafer) Theory For Cognitive Vanet Network" Iconic Research And Engineering Journals Volume 3 Issue 8 2020 Page 4-7
IEEE:
R. Asila , PROF. C. Meena
"Energy Efficient Co-Operative Spectrum Sensing Based On D-S (Dempster-Shafer) Theory For Cognitive Vanet Network" Iconic Research And Engineering Journals, 3(8)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12