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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
FCC, “Notice of proposed rule making and order,” December 2003.
J. M. III “Cognitive radio: an integrated agent architecture for software defined radio,” Ph.D. dissertation, KTH Royal Institute of Technology, Sweden, 2000.
J. M. III and G. Q. Maguire, “Cognitive radio: making software radios more personal,” IEEE Personal Communications, pp. 13–18, August 1999.
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.
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.
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.
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.
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.
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.
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.
J. Wu and F. Dai, “Broadcasting in ad hoc networks based on self-pruning,” in Proc. IEEE INFOCOM, 2003, pp. 2240–2250.
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.
Y. Kondareddy and P. Agrawal, “Selective broadcasting in multi-hop cognitive radio networks,” in Proc. IEEE Sarnoff Symposium, 2008, pp. 1–5.
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.
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.
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.
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.
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.
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.
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.
N. Theis, R. Thomas, and L. DaSilva “Rendezvous for cognitive radios,” IEEE Trans. Mobile Computing, vol. 10, no. 2, pp. 216–227, 2010.
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.
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.
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.
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.
A. Qayyum, L. Viennot, and A. Laouiti “Multipoint relaying for flooding broadcast messages in mobile wireless networks,” in Proc. HICSS, 2002, pp. 3866–3875.
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.
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.
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.
S. Alagar, S. Venkatesan, and J. Cleveland “Reliable broadcast in mobile wireless networks,” in Proc. IEEE MILCOM, 1995, pp. 236–240.
J. J. Garcia-Luna-Aceves and Y. X. Zhang, “Reliable broadcasting in dynamic networks,” in Proc. IEEE ICC, 1996, pp. 1630–1634.
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.
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.
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.
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.
R. Ramaswami and K. Parhi, “Distributed scheduling of broadcasts in a radio network,” in Proc. IEEE INFOCOM, 1989, pp. 497–504.
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.
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.
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.
A. Czumaj and W. Rytter, “Broadcasting algorithms in radio networks with unknown topo logy,” Journal of Algorithms, vol. 60, pp. 115–143, August 2006.
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.
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.
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.
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.
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.
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.
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.
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.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 The Author(s)
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-12622-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12621-0
Online ISBN: 978-3-319-12622-7
eBook Packages: Computer ScienceComputer Science (R0)