SURF: A distributed channel selection strategy for data dissemination in multi-hop cognitive radio networks |
| |
| Authors: | Mubashir Husain Rehmani Aline Carneiro Viana Hicham Khalife Serge Fdida |
| |
| Affiliation: | 1. Université Pierre et Marie Curie (UPMC) – Sorbonne Universités, 4, Place Jussieu, 75005 Paris, France;2. INRIA, Saclay - Ile de France, 1 rue Honoré d’Estienne d’Orves, Campus de l’École Polytechnique, 91120 Palaiseau, France;3. Thales Communications and Security, Colombes, France;1. Department of Statistics and Operational Research, University of Jaén, Spain;2. Department of Statistics and Operational Research, University of Granada, Spain;1. School of Computing and Mathematics, University of Derby, United Kingdom;2. SUPELEC, SSIR Team, Avenue de la Boulaie, Cesson-Sévigné 35510, France;3. Electrical Engineering Department, University of Braslia, Braslia, DF 70910-900, Brazil;1. Department of Information Engineering and Computer Science, University of Trento, Italy;2. Centre for Telecommunications Research, King’s College London, United Kingdom;3. Institute of Computing, State University of Campinas, Brazil |
| |
| Abstract: | In this paper, we propose an intelligent and distributed channel selection strategy for efficient data dissemination in multi-hop cognitive radio network. Our strategy, SURF, classifies the available channels and uses them efficiently to increase data dissemination reliability in multi-hop cognitive radio networks. The classification is done on the basis of primary radio unoccupancy and of the number of cognitive radio neighbors using the channels. Through extensive NS-2 simulations, we study the performance of SURF compared to four related approaches. Simulation results confirm that our approach is effective in selecting the best channels for efficient communication (in terms of less primary radio interference) and for highest dissemination reachability in multi-hop cognitive radio networks. |
| |
| Keywords: | Multi-hop cognitive radio networks Channel selection Data dissemination |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
