An extensive asynchronous symmetric rendezvous technique for cognitive radio networks Aditya Dubey
Journal Title: International Journal of Experimental Research and Review - Year 2023, Vol 36, Issue 7
Abstract
With the current increase in wireless technology, spectrum is becoming scarce. By equitably allocating frequency bands to unlicensed and licensed clients, the cognitive radio network (CRN) reduces issue of growing inadequate utilization and spectrum scarcity. Secondary users (SUs) and unlicensed users are given the opportunity to impulsively exploit the licensed users allotted free spectrum under CRN. The rendezvous procedure, in which SUs gather on widely used channels and create trustworthy linkages for efficient communication, is the key step in the creation of CRN. Considering the dynamic context of CRNs, rendezvous methods that depend with the presumption of common control channel (CCC) across SUs are less effective and impractical. Thus, the rendezvous among SUs is often accomplished via the channel hopping (CH) approach without CCC assistance, also known as blind rendezvous. The complete asynchronous symmetric rendezvous (CASR) technique presented in this paper ensures that SUs will rendezvous in a finite amount of time without the need for time synchronization. The CASR method uses the SU's MAC address as a means of generating a unique identifier (ID) and creating a CH sequence by dynamically adjusting the ID in accordance with the number of accessible channels for communicating. The CASR method was successful in achieving rendezvous assurance while maintaining an acceptable time to rendezvous by utilizing the distinct ID of each SU. The effectiveness of the CASR technique is theoretically evaluated and empirically tested through several simulation studies. According to simulation studies, CASR technique outperforms existing rendezvous techniques when considering of average time-to-rendezvous.
Authors and Affiliations
Aditya Dubey, Pradeep Yadav, Priusha Narwariya, Anand Kumar Pandey, Jyoti Kumari
Keywords
Related Articles
- EP ID EP726762
- DOI 10.52756/ijerr.2023.v36.016a
- Views 73
- Downloads 0
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