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Abstract

The invention of portable hand-held devices, such as smartphones and tablet personal computers (PCs), has led a dramatic increase in the demand of ubiquitous wireless communication networks and has revolutionized the way people communicate these days. Ranging from old-fashioned cellular networks (e.g., 4G networks) to recent local area networks (e.g., WiFi networks) or body area networks (e.g., Bluetooth), various types of wireless network services are seeing an unprecedented growth. With such rapid growth of wireless devices, the demands for the radio spectrum are constantly increasing, resulting in scarce spectrum resources. According to the Federal Communications Commission (FCC), almost all the radio spectrum for wireless communications has already been allocated. However, recent studies show that up to 85% of the allocated spectrum is underutilized due to the current fixed spectrum access policy [1]. To alleviate the spectrum scarcity problem, FCC has suggested a new paradigm for dynamically accessing the vacant portions of the allocated spectrum [2]. Cognitive radio (CR) has recently emerged as a promising technology to overcome the imbalance between the increase in spectrum access demand and the inefficiency in spectrum usage by allowing dynamic spectrum access (DSA). A “cognitive radio” is a radio that can change its communication protocol parameters (e.g., operating frequency) based on interactions with the environment in which it operates [2-4]. CR networks are regarded as the next-generation wireless networks to efficiently utilize the radio spectrum.

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References

  1. FCC, “Notice of proposed rule making and order,” December 2003.

    Google Scholar 

  2. J. M. III “Cognitive radio: an integrated agent architecture for software defined radio,” Ph.D. dissertation, KTH Royal Institute of Technology, Sweden, 2000.

    Google Scholar 

  3. J. M. III and G. Q. Maguire, “Cognitive radio: making software radios more personal,” IEEE Personal Communications, pp. 13–18, August 1999.

    Google Scholar 

  4. S. Haykin “Cognitive radio: brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications (JSAC), vol. 23, no. 2, pp. 201–220, February 2005.

    Article  Google Scholar 

  5. I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty “NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey,” Computer Networks (Elsevier), vol. 50, 2006.

    Google Scholar 

  6. I. F. Akyildiz, W.-Y. Lee, and K. R. Chowdhury “CRAHNs: cognitive radio ad hoc networks,” Ad Hoc Networks, vol. 7, no. 5, pp. 810–836, July 2009.

    Article  Google Scholar 

  7. Y. Song and J. Xie, Cognitive Radio Mobile Ad Hoc Networks. Springer, 2011, ch. On the Spectrum Handoff for Cognitive Radio Ad Hoc Networks without Common Control Channel.

    Google Scholar 

  8. G. Resta, P. Santi, and J. Simon “Analysis of multi-hop emergency message propagation in vehicular ad hoc networks,” in Proc. ACM MobiHoc, 2007, pp. 140–149.

    Google Scholar 

  9. I. Chlamtac and S. Kutten, “On broadcasting in radio networks — problem analysis and protocol design,” IEEE Transactions on Communications, vol. 33, no. 12, pp. 1240–1246, Dec. 1985.

    Article  MATH  Google Scholar 

  10. S.-Y. Ni, Y.-C. Tseng, Y.-S. Chen, and J.-P. Sheu “The broadcast storm problem in a mobile ad hoc network,” in Proc. ACM MobiCom, 1999, pp. 151–162.

    Google Scholar 

  11. J. Wu and F. Dai, “Broadcasting in ad hoc networks based on self-pruning,” in Proc. IEEE INFOCOM, 2003, pp. 2240–2250.

    Google Scholar 

  12. J. Qadir, A. Misra, and C. T. Chou “Minimum latency broadcasting in multi-radio multi-channel multi-rate wireless meshes,” in Proc. IEEE SECON, vol. 1, 2006, pp. 80–89.

    Google Scholar 

  13. Y. Kondareddy and P. Agrawal, “Selective broadcasting in multi-hop cognitive radio networks,” in Proc. IEEE Sarnoff Symposium, 2008, pp. 1–5.

    Google Scholar 

  14. C. J. L. Arachchige, S. Venkatesan, R. Chandrasekaran, and N. Mittal “Minimal time broadcasting in cognitive radio networks,” in Proc. ICDCN, 2011, pp. 364–375.

    Google Scholar 

  15. Y. Song and J. Xie, “A QoS-based broadcast protocol for multi-hop cognitive radio ad hoc networks under blind information,” in Proc. IEEE GLOBECOM, 2011, pp. 1–5.

    Google Scholar 

  16. Y. Song and J. Xie, “\({\rm QB}^2{\rm IC}\): A QoS-based broadcast protocol under blind information for multi-hop cognitive radio ad hoc networks,” IEEE Transactions on Vehicular Technology, vol. 63, no. 3, pp. 1453–1466, March 2014.

    Google Scholar 

  17. L. Lazos, S. Liu, and M. Krunz “Spectrum opportunity-based control channel assignment in cognitive radio networks,” in Proc. IEEE SECON, 2009, pp. 1–9.

    Google Scholar 

  18. J. Zhao, H. Zheng, and G. Yang “Spectrum sharing through distributed coordination in dynamic spectrum access networks,” Wireless Communications and Mobile Computing, vol. 7, pp. 1061–1075, November 2007.

    Google Scholar 

  19. K. Bian, J.-M. Park, and R. Chen “Control channel establishment in cognitive radio networks using channel hopping,” IEEE JSAC, vol. 29, no. 4, pp. 689–703, April 2011.

    Google Scholar 

  20. Y. Zhang, Q. Li, G. Yu, and B. Wang “ETCH: Efficient channel hopping for communication rendezvous in dynamic spectrum access networks,” in Proc. IEEE INFOCOM, 2011, pp. 2471–2479.

    Google Scholar 

  21. N. Theis, R. Thomas, and L. DaSilva “Rendezvous for cognitive radios,” IEEE Trans. Mobile Computing, vol. 10, no. 2, pp. 216–227, 2010.

    Google Scholar 

  22. C. Cormio and K. R. Chowdhury, “Common control channel design for cognitive radio wireless ad hoc networks using adaptive frequency hopping,” Ad Hoc Networks, vol. 8, no. 4, pp. 430–438, 2010.

    Google Scholar 

  23. Z. Lin, H. Liu, X. Chu, and Y.-W. Leung “Jump-stay based channel hopping algorithm with guaranteed rendezvous for cognitive radio networks,” in Proc. IEEE INFOCOM, 2011.

    Google Scholar 

  24. J. Mo, H.-S. W. So, and J. Walrand “Comparison of multichannel MAC protocols,” IEEE Trans. on Mobile Computing, vol. 7, no. 1, 200–8.

    Google Scholar 

  25. H.-P. Shiang and M. Van der Schaar, “Delay-sensitive resource management in multi-hop cognitive radio networks,” in Proc. IEEE DySPAN, 2008, pp. 1–12.

    Google Scholar 

  26. A. Qayyum, L. Viennot, and A. Laouiti “Multipoint relaying for flooding broadcast messages in mobile wireless networks,” in Proc. HICSS, 2002, pp. 3866–3875.

    Google Scholar 

  27. Z. Haas, J. Halpern, and L. Li “Gossip-based ad hoc routing,” IEEE/ACM Trans. Networking, vol. 14, no. 3, pp. 479–491, June 2006.

    Google Scholar 

  28. R. Gandhi, A. Mishra, and S. Parthasarathy “Minimizing broadcast latency and redundancy in ad hoc networks,” IEEE/ACM Transactions on Networking, vol. 16, no. 4, pp. 840–851, 2008.

    Google Scholar 

  29. Y. Song, J. Xie, and X. Wang “A novel unified analytical model for broadcast protocols in multi-hop cognitive radio ad hoc networks,” IEEE Transactions on Mobile Computing, 2013.

    Google Scholar 

  30. S. Alagar, S. Venkatesan, and J. Cleveland “Reliable broadcast in mobile wireless networks,” in Proc. IEEE MILCOM, 1995, pp. 236–240.

    Google Scholar 

  31. J. J. Garcia-Luna-Aceves and Y. X. Zhang, “Reliable broadcasting in dynamic networks,” in Proc. IEEE ICC, 1996, pp. 1630–1634.

    Google Scholar 

  32. M. Impett, M. S. Corson, and V. Park “A receiver-oriented approach to reliable broadcast ad hoc networks,” in Proc. IEEE Wireless Communications and Networking Conference (WCNC), 2000, pp. 117–122.

    Google Scholar 

  33. Z. Chen, C. Qiao, J. Xu, and T. Lee “A constant approximation algorithm for interference aware broadcast in wireless networks,” in Proc. IEEE INFOCOM, 2007, pp. 740–748.

    Google Scholar 

  34. S. Huang, P.-J. Wan, X. Jia, H. Du, and W. Shang “Broadcast scheduling in interference environment,” IEEE Transactions on Mobile Computing, vol. 7, no. 11, pp. 1338–1348, 2008.

    Article  Google Scholar 

  35. R. Mahjourian, F. Chen, R. Tiwari, M. Thai, H. Zhai, and Y. Fang “An approximation algorithm for conflict-aware broadcast scheduling in wireless ad hoc networks,” in Proc. ACM MobiHoc, 2008, pp. 331–340.

    Google Scholar 

  36. R. Ramaswami and K. Parhi, “Distributed scheduling of broadcasts in a radio network,” in Proc. IEEE INFOCOM, 1989, pp. 497–504.

    Google Scholar 

  37. N. Alon, A. Bar-Noy, N. Linial, and D. Peleg “A lower bound for radio broadcast,” Journal of Computer System Science, vol. 43, pp. 290–298, October 1991.

    Google Scholar 

  38. B. Chlebus, L. Gasieniec, A. Gibbons, A. Pelc, and W. Rytter “Deterministic broadcasting in unknown radio networks,” in Proc. ACM-SIAM Symposium on Discrete Algorithms (SODA), 2000, pp. 861–870.

    Google Scholar 

  39. B. Williams and T. Camp, “Comparison of broadcasting techniques for mobile ad hoc networks,” in Proc. ACM International Symposium on Mobile Ad Hoc Networking & Computing (MobiHoc), 2002, pp. 194–205.

    Google Scholar 

  40. A. Czumaj and W. Rytter, “Broadcasting algorithms in radio networks with unknown topo logy,” Journal of Algorithms, vol. 60, pp. 115–143, August 2006.

    Google Scholar 

  41. W. Lou and J. Wu, “Toward broadcast reliability in mobile ad hoc networks with double coverage,” IEEE Transactions on Mobile Computing, vol. 6, no. 2, pp. 148–163, 2007.

    Google Scholar 

  42. C. Campolo, A. Molinaro, A. Vinel, and Y. Zhang “Modeling prioritized broadcasting in multichannel vehicular networks,” IEEE Transactions on Vehicular Technology, vol. 61, pp. 687–701, February 2012.

    Google Scholar 

  43. X. Ma, J. Zhang, X. Yin, and K. S. Trivedi “Design and analysis of a robust broadcast scheme for VANET safety-related services,” IEEE Transactions on Vehicular Technology, vol. 61, pp. 46–61, January 2012.

    Article  Google Scholar 

  44. Q. Yang, J. Zheng, and L. Shen “Modeling and performance analysis of periodic broadcast in vehicular ad hoc networks,” in Proc. IEEE GLOBECOM, 2011, pp. 1–5.

    Google Scholar 

  45. J. Chen “AMNP: ad hoc multichannel negotiation protocol with broadcast solutions for multi-hop mobile wireless networks,” IET Communications, vol. 4, no. 5, pp. 521–531, 2–6 2010.

    Google Scholar 

  46. Y. Wan, X. Chen, and J. Lu “Broadcast enhanced cooperative asynchronous multichannel MAC for wireless ad hoc network,” in Proc. WiCOM, 2011, pp. 1–5.

    Google Scholar 

  47. L. Lin, W. Jia, and W. Lu “Performance analysis of IEEE 802.16 multicast and broadcast polling based bandwidth request,” in Proc. IEEE WCNC, 2007, pp. 1854–1859.

    Google Scholar 

  48. J. Qadir, C. T. Chou, A. Misra, and J. G. Lim “Minimum latency broadcasting in multiradio, multichannel, multirate wireless meshes,” IEEE Transactions on Mobile Computing, vol. 8, no. 11, pp. 1510–1523, November 2009.

    Article  Google Scholar 

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Song, Y., Xie, J. (2014). Introduction. In: Broadcast Design in Cognitive Radio Ad Hoc Networks. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-12622-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-12622-7_1

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