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Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network

Abstract:
In a distributed cognitive radio (CR) sensor network, transmission and reception on vacant channels require cognitive radio nodes to achieve rendezvous. Because of the lack of adequate assistance from the network environment, such as the central controller and other nodes, assisted rendezvous for distributed CR is inefficient in a dynamic network. As a result, non-assisted blind rendezvous, which is unaware of its counterpart node, has recently led to a lot of interest in the research arena. In this paper, we study a channel rendezvous method based on prime number theory and propose a new multi-radio-based technique for non-assisted rendezvous with the blind and heterogeneous condition. The required time and the optimal number of radios for the guaranteed rendezvous are calculated using probability-based measurement. Analytical expressions for probabilistic guaranteed rendezvous conditions are derived and verified by Monte Carlo simulation. In addition, the maximum time to rendezvous (MTTR) is derived in closed form using statistical and probabilistic analysis. Under different channel conditions, our proposed solution leads to a substantial time reduction for guaranteed rendezvous. For the sake of over-performance of our proposed system, the simulation outcome is compared to a recently proposed heterogeneous and blind rendezvous method. The Matlab simulation results show that our proposed system’s MTTR gains range from 11% to over 95% for various parametric values of the system model.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3390/s21092997

Authors

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Role:
Author
ORCID:
0000-0002-5292-3021
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Role:
Author
ORCID:
0000-0002-9388-9173
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-7988-3189


Publisher:
MDPI
Journal:
Sensors More from this journal
Volume:
21
Issue:
9
Pages:
2997-2997
Publication date:
2021-04-24
DOI:
EISSN:
1424-8220
ISSN:
1424-8220


Language:
English
Keywords:
Pubs id:
2281329
Local pid:
pubs:2281329
Source identifiers:
W3157582887
Deposit date:
2025-08-16
ARK identifier:
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