Journal Press India^®

Author Details ( * ) denotes Corresponding author

Cognitive radio (CR) is one of today’s up-and-coming technologies. It facilitates communication because it creates greater efficiencies in mobile networks. CR allows unlicensed (secondary) users to exploit, in an opportunistic or ad hoc manner, the radio communications spectrum allocated to licensed (primary) users. CR is a promising potential solution to the problems caused by inflexibility in spectrum allocation policy, with attendant spectrum shortage. Due to facility in cognitive radio (CR) ad hoc networks, many unlicensed users may acquire different available channels depending on the locations and traffic of licensed users for efficient broadcast operation. By this strategy, proposed work enables the novel unified analytical model to estimate the efficiency of several protocols. First step is decompose the intricate network into a few simpler networks so that the successful broadcast ratio of these simpler networks is straightforward and also obtain successful broadcast ratio of the overall network can be acquired. These systematic models efficiently analyze all protocol without considering their design and specification.

Keywords

Cognitive radio; Broadcast protocols; Random channel usability; Mobile adhoc network

1. I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, S. Mohanty, NeXt generation/ dynamic spectrum access/cognitive radio wireless networks: A survey, Comput. Netw, 50(13), 2006, 2127–2159


2. `I. F. Akyildiz, W.-Y. Lee, K. R. Chowdhury, CRAHNs: Cognitive radio ad hoc networks, Ad Hoc Netw., 7(5), 2009, 810–836


3. C. J. L. Arachchige, S. Venkatesan, R. Chandrasekaran, N. Mittal, Minimal time broadcasting in cognitive radio networks, ICDCN, Bangalore, India, 2011, 364 375


4. C. Campolo, A. Molinaro, A. Vinel, Y. Zhang, Modeling prioritized broadcasting in multichannel vehicular networks, IEEET rans. Veh. Technol., 61(2), 2012, 687–701


5. I. Chlamtac, S. Kutten, On broadcasting in radio networks – Problem analysis and protocol design, IEEE Trans. Commun., 33(12), 1985, 1240–1246


6. J. Qadir, A. Misra, C. T. Chou, Minimum latency broadcastingin multi-radio multi-channel multi-rate wireless meshes, IEEE SECON, 1. Reston, VA, USA, 2006


7. Y. Kondareddy, P. Agrawal, Selective broadcasting in multihop cognitive radio networks, IEEE Sarnoff Symp., Princeton, NJ, USA, 2008, 1–5


8. J. Mitola, Cognitive radio: An integrated agent architecture for software defined radio, KTH Royal Inst. Tech., Sweden, 2000


9. X. Ma, J. Zhang, X. Yin, K. S. Trivedi, Design and analysis of a robust broadcast scheme for VANET safety-related services, IEEE Trans. Veh. Technol., 61(1), 2012, 46–61


10. S.-Y. Ni, Y.-C. Tseng, Y.-S. Chen, J.-P. Sheu, The broadcast storm problem in mobile ad hoc network, ACMMobiCom, New York, NY, USA, 1999, 151–162


11. R. Ramaswami, K. Parhi, Distributed scheduling of broadcasts in a radio network, IEEE INFOCOM, Ottawa, ON, Canada, 1989, 497–504


12. Y. Song, J. Xie, A distributed broadcast protocol in multihop cognitive radio ad hoc networks without a common control channel, IEEE INFOCOM, 2012


13. J. Wu, F. Dai, Broadcasting in ad hoc networks based on selfpruning, IEEE INFOCOM, New York, NY, USA, 2003


14. B. Williams, T. Camp, Comparison of broadcasting techniques for mobile ad hoc networks, ACM MobiHoc, New York, NY, USA, 2002, 194–205


15. Y. Zhang, Q. Li, G. Yu, B. Wang, ETCH: Efficient channel hopping for communication rendezvous in dynamic spectrum access networks, IEEE INFOCOM, Shanghai, China, 2011, 2471–24