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Erschienen in: Wireless Personal Communications 3/2015

01.04.2015

Cognitive Radio Ad-Hoc Network Architectures: A Survey

verfasst von: Nafees Mansoor, A. K. M. Muzahidul Islam, Mahdi Zareei, Sabariah Baharun, Toshio Wakabayashi, Shozo Komaki

Erschienen in: Wireless Personal Communications | Ausgabe 3/2015

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Abstract

Combating the growing necessity of radio spectrum, which is a limited natural resource, proper utilization of the radio spectrum is a must. Cognitive radio network (CRN) plays a vibrant role to solve this spectrum scarcity problem. Cognitive radio uses an open spectrum allocation technique to make more efficient utilization of the wireless radio spectrum and reduces the bottleneck on the frequency bands. Thus, accessible spectrum information is required for communication in CRN, which can be acquired by using spectrum database or by spectrum sensing. In addition, a robust architecture with appropriate communication protocol is preconditioned in the deployment of CRN. The state of the art of cognitive radio ad-hoc network architecture is surveyed in this paper, where the paper specifies the formation mechanisms and performance evaluations of the studied architectures. The reviewed papers have addressed some vital issues for the concrete deployment of cognitive radio ad-hoc network; however, there remain some issues that need to be addressed. Thus, this paper conveys a thorough and abstract understanding of cognitive radio ad-hoc network architecture, and also points out some open research issues in this area.

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Literatur
1.
Zurück zum Zitat Mitola, J., & Maguire, G. Q. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications, 6, 13–18.CrossRef Mitola, J., & Maguire, G. Q. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications, 6, 13–18.CrossRef
2.
Zurück zum Zitat FCC. (2003). Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies. FCC Document ET Docket, No. 03-108, December 2003. FCC. (2003). Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies. FCC Document ET Docket, No. 03-108, December 2003.
3.
Zurück zum Zitat Akyildiz, I. F., Lee, W. Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks, 50, 2127–2159.CrossRefMATH Akyildiz, I. F., Lee, W. Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks, 50, 2127–2159.CrossRefMATH
4.
Zurück zum Zitat Chen, K.-C., Peng, Y.-J., Prasad, N., Liang, Y.-C., & Sun, S. (2008). Cognitive radio network architecture: Part I—general structure. Presented at the Proceedings of the 2nd international conference on Ubiquitous information management and communication, Suwon, Korea. Chen, K.-C., Peng, Y.-J., Prasad, N., Liang, Y.-C., & Sun, S. (2008). Cognitive radio network architecture: Part I—general structure. Presented at the Proceedings of the 2nd international conference on Ubiquitous information management and communication, Suwon, Korea.
5.
Zurück zum Zitat Krishnamurthy, S., Thoppian, M., Venkatesan, S., Prakash, R. (2005). Control channel based MAC-layer configuration, routing and situation awareness for cognitive radio networks. In Milcom 2005–2005 IEEE military communications conference, Vols. 1–5, pp. 455–460. Krishnamurthy, S., Thoppian, M., Venkatesan, S., Prakash, R. (2005). Control channel based MAC-layer configuration, routing and situation awareness for cognitive radio networks. In Milcom 2005–2005 IEEE military communications conference, Vols. 1–5, pp. 455–460.
6.
Zurück zum Zitat Zhao, Y. P., Mao, S. W., Neel, J. O., & Reed, J. H. (2009). Performance evaluation of cognitive radios: Metrics, utility functions, and methodology. Proceedings of the IEEE, 97, 642–659.CrossRef Zhao, Y. P., Mao, S. W., Neel, J. O., & Reed, J. H. (2009). Performance evaluation of cognitive radios: Metrics, utility functions, and methodology. Proceedings of the IEEE, 97, 642–659.CrossRef
7.
Zurück zum Zitat Wang, B. B., & Liu, K. J. R. (2011). Advances in cognitive radio networks: A survey. IEEE Journal of Selected Topics in Signal Processing, 5, 5–23.CrossRef Wang, B. B., & Liu, K. J. R. (2011). Advances in cognitive radio networks: A survey. IEEE Journal of Selected Topics in Signal Processing, 5, 5–23.CrossRef
8.
Zurück zum Zitat Liang, Y. C., Chen, K. C., Li, G. Y., & Mahonen, P. (2011). Cognitive radio networking and communications: An overview. IEEE Transactions on Vehicular Technology, 60, 3386–3407.CrossRef Liang, Y. C., Chen, K. C., Li, G. Y., & Mahonen, P. (2011). Cognitive radio networking and communications: An overview. IEEE Transactions on Vehicular Technology, 60, 3386–3407.CrossRef
9.
Zurück zum Zitat Youping, Z., Morales, L., Gaeddert, J., Bae, K. K., Jung-Sun, U., Reed, J. H. (2007). Applying radio environment maps to cognitive wireless regional area networks. In 2nd IEEE international symposium on new frontiers in dynamic spectrum access networks, 2007. DySPAN 2007, pp. 115–118. Youping, Z., Morales, L., Gaeddert, J., Bae, K. K., Jung-Sun, U., Reed, J. H. (2007). Applying radio environment maps to cognitive wireless regional area networks. In 2nd IEEE international symposium on new frontiers in dynamic spectrum access networks, 2007. DySPAN 2007, pp. 115–118.
10.
Zurück zum Zitat I. W. Group. (2008). IEEE P802. 22/D1. 0 draft standard for wireless regional area networks part 22: cognitive wireless RAN medium access control (MAC) and physical layer (PHY) specifications: policies and procedures for operation in the TV bands. In IEEE docs, pp. 22–06. I. W. Group. (2008). IEEE P802. 22/D1. 0 draft standard for wireless regional area networks part 22: cognitive wireless RAN medium access control (MAC) and physical layer (PHY) specifications: policies and procedures for operation in the TV bands. In IEEE docs, pp. 22–06.
11.
Zurück zum Zitat Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys & Tutorials, 11, 116–130.CrossRef Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys & Tutorials, 11, 116–130.CrossRef
12.
Zurück zum Zitat Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2008). A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine, 46, 40–48.CrossRef Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2008). A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine, 46, 40–48.CrossRef
13.
Zurück zum Zitat Yongle, W., Beibei, W., Liu, K. J. R., & Clancy, T. C. (2008). A multi-winner cognitive spectrum auction framework with collusion-resistant mechanisms. In 3rd IEEE symposium on new Frontiers in dynamic spectrum access networks, 2008. DySPAN 2008, pp. 1–9. Yongle, W., Beibei, W., Liu, K. J. R., & Clancy, T. C. (2008). A multi-winner cognitive spectrum auction framework with collusion-resistant mechanisms. In 3rd IEEE symposium on new Frontiers in dynamic spectrum access networks, 2008. DySPAN 2008, pp. 1–9.
14.
Zurück zum Zitat Chen, T., Zhang, H., Maggio, G. M., & Chlamtac, I. (2007). Topology management in CogMesh: A cluster-based cognitive radio mesh network. In IEEE international conference on communications, 2007. ICC’07, pp. 6516–6521. Chen, T., Zhang, H., Maggio, G. M., & Chlamtac, I. (2007). Topology management in CogMesh: A cluster-based cognitive radio mesh network. In IEEE international conference on communications, 2007. ICC’07, pp. 6516–6521.
15.
Zurück zum Zitat Bouabdallah, N., Ishibashi, B., & Boutaba, R. (2011). Performance of cognitive radio-based wireless mesh networks. IEEE Transactions on Mobile Computing, 10, 122–135.CrossRef Bouabdallah, N., Ishibashi, B., & Boutaba, R. (2011). Performance of cognitive radio-based wireless mesh networks. IEEE Transactions on Mobile Computing, 10, 122–135.CrossRef
16.
Zurück zum Zitat Han, C., Wang, J., Yang, Y. L., & Li, S. Q. (2008). Addressing the control channel design problem: OFDM-based transform domain communication system in cognitive radio. Computer Networks, 52, 795–815.CrossRefMATH Han, C., Wang, J., Yang, Y. L., & Li, S. Q. (2008). Addressing the control channel design problem: OFDM-based transform domain communication system in cognitive radio. Computer Networks, 52, 795–815.CrossRefMATH
17.
Zurück zum Zitat Čabrić, D., Mishra, S. M., Willkomm, D., Brodersen, R., & Wolisz, A. (2005). A cognitive radio approach for usage of virtual unlicensed spectrum. In 14th IST mobile and wireless communications, summit. Čabrić, D., Mishra, S. M., Willkomm, D., Brodersen, R., & Wolisz, A. (2005). A cognitive radio approach for usage of virtual unlicensed spectrum. In 14th IST mobile and wireless communications, summit.
18.
Zurück zum Zitat Zhao, J., Zheng, H., & Yang, G.-H. (2005). Distributed coordination in dynamic spectrum allocation networks. In 2005 First IEEE international symposium on new frontiers in dynamic spectrum access networks, 2005. DySPAN 2005, pp. 259–268. Zhao, J., Zheng, H., & Yang, G.-H. (2005). Distributed coordination in dynamic spectrum allocation networks. In 2005 First IEEE international symposium on new frontiers in dynamic spectrum access networks, 2005. DySPAN 2005, pp. 259–268.
19.
Zurück zum Zitat Kondareddy, Y. R., Agrawal, P., & Synchronized, M. A. C. (2008). Protocol for multi-hop cognitive radio networks. In IEEE international conference on communications, 2008. ICC’08, pp. 3198–3202. Kondareddy, Y. R., Agrawal, P., & Synchronized, M. A. C. (2008). Protocol for multi-hop cognitive radio networks. In IEEE international conference on communications, 2008. ICC’08, pp. 3198–3202.
20.
Zurück zum Zitat Shao-Yu, L., Chih-Cheng, T., & Kwang-Cheng, C. (2008) Protocols, carrier sensing based multiple access, for cognitive radio networks. In IEEE international conference on communications, 2008. ICC’08, pp. 3208–3214. Shao-Yu, L., Chih-Cheng, T., & Kwang-Cheng, C. (2008) Protocols, carrier sensing based multiple access, for cognitive radio networks. In IEEE international conference on communications, 2008. ICC’08, pp. 3208–3214.
21.
Zurück zum Zitat Cormio, C., & Chowdhury, K. R. (2010). Common control channel design for cognitive radio wireless ad hoc networks using adaptive frequency hopping. Ad Hoc Networks, 8, 430–438.CrossRef Cormio, C., & Chowdhury, K. R. (2010). Common control channel design for cognitive radio wireless ad hoc networks using adaptive frequency hopping. Ad Hoc Networks, 8, 430–438.CrossRef
22.
Zurück zum Zitat Lo, B. F. (2011). A survey of common control channel design in cognitive radio networks. Physical Communication, 4, 26–39.CrossRef Lo, B. F. (2011). A survey of common control channel design in cognitive radio networks. Physical Communication, 4, 26–39.CrossRef
23.
Zurück zum Zitat Muzahidul Islam, A. K. M., Uchida, J., Chen, W., & Wada, K. (2012). A better dynamic cluster-based structure wireless sensor network for efficient routing. International Journal of Innovative Computing, Information and Control (IJICIC), 9, 4085–4099. Muzahidul Islam, A. K. M., Uchida, J., Chen, W., & Wada, K. (2012). A better dynamic cluster-based structure wireless sensor network for efficient routing. International Journal of Innovative Computing, Information and Control (IJICIC), 9, 4085–4099.
24.
Zurück zum Zitat De Guglielmo, D., Anastasi, G., & Seghetti, A. (2014). From IEEE 802.15. 4 to IEEE 802.15. 4e: A step towards the internet of things. In Advances onto the internet of things, (pp. 135–152) Berlin: Springer. De Guglielmo, D., Anastasi, G., & Seghetti, A. (2014). From IEEE 802.15. 4 to IEEE 802.15. 4e: A step towards the internet of things. In Advances onto the internet of things, (pp. 135–152) Berlin: Springer.
25.
Zurück zum Zitat Sichitiu, M. L., & Ramadurai, V. (2004). Localization of wireless sensor networks with a mobile beacon. IEEE International Conference on Mobile Ad-hoc and Sensor Systems, 2004, 174–183.CrossRef Sichitiu, M. L., & Ramadurai, V. (2004). Localization of wireless sensor networks with a mobile beacon. IEEE International Conference on Mobile Ad-hoc and Sensor Systems, 2004, 174–183.CrossRef
26.
Zurück zum Zitat Villanueva, M. J., Calafate, C. T., Torres, Á., Cano, J., Cano, J.-C., & Manzoni, P. (2013). Seamless MANET autoconfiguration through enhanced 802.11 beaconing. Mobile Information Systems, 9, 19–35.CrossRef Villanueva, M. J., Calafate, C. T., Torres, Á., Cano, J., Cano, J.-C., & Manzoni, P. (2013). Seamless MANET autoconfiguration through enhanced 802.11 beaconing. Mobile Information Systems, 9, 19–35.CrossRef
27.
Zurück zum Zitat Singh, S. K., Singh, M., & Singh, D. (2010). Routing protocols in wireless sensor networks—a survey. International Journal of Computer Science & Engineering Survey (IJCSES), 1, 63–83.CrossRef Singh, S. K., Singh, M., & Singh, D. (2010). Routing protocols in wireless sensor networks—a survey. International Journal of Computer Science & Engineering Survey (IJCSES), 1, 63–83.CrossRef
28.
Zurück zum Zitat Gulati, M. K., & Kumar, K. (2012). QoS routing protocols for mobile ad hoc networks: A survey. International Journal of Wireless and Mobile Computing, 5, 107–118.CrossRef Gulati, M. K., & Kumar, K. (2012). QoS routing protocols for mobile ad hoc networks: A survey. International Journal of Wireless and Mobile Computing, 5, 107–118.CrossRef
29.
Zurück zum Zitat Pešović, U. M., Mohorko, J. J., Benkič, K., & Čučej, Ž. F. (2010). Single-hop vs. Multi-hop-Energy efficiency analysis in wireless sensor networks. In 18th Telecommunications Forum, TELFOR. Pešović, U. M., Mohorko, J. J., Benkič, K., & Čučej, Ž. F. (2010). Single-hop vs. Multi-hop-Energy efficiency analysis in wireless sensor networks. In 18th Telecommunications Forum, TELFOR.
30.
Zurück zum Zitat Zhao, Q., Qin, S., & Wu, Z. (2011). Self-organize network architecture for multi-agent cognitive radio systems. In International conference on cyber-enabled distributed computing and knowledge discovery (CyberC), pp. 515–518. Zhao, Q., Qin, S., & Wu, Z. (2011). Self-organize network architecture for multi-agent cognitive radio systems. In International conference on cyber-enabled distributed computing and knowledge discovery (CyberC), pp. 515–518.
31.
Zurück zum Zitat Baddour, K. E., Ureten, O., & Willink, T. J. (2011). A distributed message-passing approach for clustering cognitive radio networks. Wireless Personal Communications, 57, 119–133.CrossRef Baddour, K. E., Ureten, O., & Willink, T. J. (2011). A distributed message-passing approach for clustering cognitive radio networks. Wireless Personal Communications, 57, 119–133.CrossRef
33.
Zurück zum Zitat Guo, C., Peng, T., Xu, S. Y., Wang, H. M., & Wang, W. B. (2009). Cooperative spectrum sensing with cluster-based architecture in cognitive radio networks. 2009 IEEE Vehicular Technology Conference, 1–5, 445–449. Guo, C., Peng, T., Xu, S. Y., Wang, H. M., & Wang, W. B. (2009). Cooperative spectrum sensing with cluster-based architecture in cognitive radio networks. 2009 IEEE Vehicular Technology Conference, 1–5, 445–449.
34.
Zurück zum Zitat Zhang, J.-Z., Wang, F., Yao, F.-Q., Zhao, H.-S., & Li, Y.-S. (2010). Cluster-based distributed topology management in cognitive radio ad hoc networks. In 2010 International Conference on Computer Application and System Modeling (ICCASM), pp. V10-544–V10-548. Zhang, J.-Z., Wang, F., Yao, F.-Q., Zhao, H.-S., & Li, Y.-S. (2010). Cluster-based distributed topology management in cognitive radio ad hoc networks. In 2010 International Conference on Computer Application and System Modeling (ICCASM), pp. V10-544–V10-548.
35.
Zurück zum Zitat Talay, A. C., & Altilar, D. T. (2011). United nodes: Cluster-based routing protocol for mobile cognitive radio networks. IET Communications, 5, 2097–2105.CrossRef Talay, A. C., & Altilar, D. T. (2011). United nodes: Cluster-based routing protocol for mobile cognitive radio networks. IET Communications, 5, 2097–2105.CrossRef
36.
Zurück zum Zitat Asterjadhi, A., Baldo, N., & Zorzi, M. (2010). A cluster formation protocol for cognitive radio ad hoc networks. In Wireless conference (EW), 2010 European, pp. 955–961. Asterjadhi, A., Baldo, N., & Zorzi, M. (2010). A cluster formation protocol for cognitive radio ad hoc networks. In Wireless conference (EW), 2010 European, pp. 955–961.
37.
Zurück zum Zitat Chen, T., Zhang, H. G., Maggio, G. M., & Chlamtac, I. (2007). CogMesh: A cluster-based cognitive radio network. In 2nd IEEE international symposium on new frontiers in dynamic spectrum access networks, Vols. 1 and 2, pp. 168–178. Chen, T., Zhang, H. G., Maggio, G. M., & Chlamtac, I. (2007). CogMesh: A cluster-based cognitive radio network. In 2nd IEEE international symposium on new frontiers in dynamic spectrum access networks, Vols. 1 and 2, pp. 168–178.
38.
Zurück zum Zitat Tang, C.-C., Ssu, K.-F., & Yang, C.-H. (2013). A cluster-based link recovery mechanism for spectrum aware on-demand routing in cognitive radio ad hoc networks. In Advances in intelligent systems and applications, (Vol. 1, pp. 601–610). Berlin: Springer. Tang, C.-C., Ssu, K.-F., & Yang, C.-H. (2013). A cluster-based link recovery mechanism for spectrum aware on-demand routing in cognitive radio ad hoc networks. In Advances in intelligent systems and applications, (Vol. 1, pp. 601–610). Berlin: Springer.
39.
Zurück zum Zitat Lazos, L., Liu, S., & Krunz, M. (2009). Spectrum opportunity-based control channel assignment in cognitive radio networks. In 6th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks, 2009. SECON’09, pp. 1–9. Lazos, L., Liu, S., & Krunz, M. (2009). Spectrum opportunity-based control channel assignment in cognitive radio networks. In 6th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks, 2009. SECON’09, pp. 1–9.
40.
Zurück zum Zitat Zeng, Y., Mittal, N., Venkatesan, S., & Chandrasekaran, R. (2010). Fast neighbor discovery with lightweight termination detection in heterogeneous cognitive radio networks. In 2010 ninth international symposium on parallel and distributed computing (ISPDC), pp. 149–156. Zeng, Y., Mittal, N., Venkatesan, S., & Chandrasekaran, R. (2010). Fast neighbor discovery with lightweight termination detection in heterogeneous cognitive radio networks. In 2010 ninth international symposium on parallel and distributed computing (ISPDC), pp. 149–156.
41.
Zurück zum Zitat Xin, C. S., & Cao, X. J. (2009). A cognitive radio network architecture without control channel. Globecom 2009–2009 IEEE global telecommunications conference, Vols. 1–8, pp. 796–801. Xin, C. S., & Cao, X. J. (2009). A cognitive radio network architecture without control channel. Globecom 2009–2009 IEEE global telecommunications conference, Vols. 1–8, pp. 796–801.
42.
Zurück zum Zitat Choi, N., Patel, M., Venkatesan, S. (2006). A full duplex multi-channel MAC protocol for multi-hop cognitive radio networks, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 99–103. Choi, N., Patel, M., Venkatesan, S. (2006). A full duplex multi-channel MAC protocol for multi-hop cognitive radio networks, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 99–103.
43.
Zurück zum Zitat Sreesha, A. A., Somal, S., & Lu, I. T. (2011). Cognitive radio based wireless sensor network architecture for smart grid utility. In Systems, applications and technology conference (LISAT). 2011 IEEE long Island, pp. 1–7. Sreesha, A. A., Somal, S., & Lu, I. T. (2011). Cognitive radio based wireless sensor network architecture for smart grid utility. In Systems, applications and technology conference (LISAT). 2011 IEEE long Island, pp. 1–7.
44.
Zurück zum Zitat Ghosh, C., & Agrawal, D. P. (2007). ROPAS: Cross-layer cognitive architecture for wireless mobile adhoc networks. In 2007 2nd international conference on cognitive radio oriented wireless networks and communications, pp. 514–518. Ghosh, C., & Agrawal, D. P. (2007). ROPAS: Cross-layer cognitive architecture for wireless mobile adhoc networks. In 2007 2nd international conference on cognitive radio oriented wireless networks and communications, pp. 514–518.
45.
Zurück zum Zitat Htike, Z., & Hong, C. S. (2013). Neighbor discovery for cognitive radio ad hoc networks. In Proceedings of the 7th international conference on ubiquitous information management and communication, p. 102. Htike, Z., & Hong, C. S. (2013). Neighbor discovery for cognitive radio ad hoc networks. In Proceedings of the 7th international conference on ubiquitous information management and communication, p. 102.
46.
Zurück zum Zitat Bianchi, G. (2000). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communications, 18, 535–547.CrossRef Bianchi, G. (2000). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communications, 18, 535–547.CrossRef
47.
Zurück zum Zitat Bahl, P., Chandra, R., Moscibroda, T., Murty, R., & Welsh, M. (2009). White space networking with wi-fi like connectivity. ACM SIGCOMM Computer Communication Review, 39, 27–38.CrossRef Bahl, P., Chandra, R., Moscibroda, T., Murty, R., & Welsh, M. (2009). White space networking with wi-fi like connectivity. ACM SIGCOMM Computer Communication Review, 39, 27–38.CrossRef
Metadaten
Titel
Cognitive Radio Ad-Hoc Network Architectures: A Survey
verfasst von
Nafees Mansoor
A. K. M. Muzahidul Islam
Mahdi Zareei
Sabariah Baharun
Toshio Wakabayashi
Shozo Komaki
Publikationsdatum
01.04.2015
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2015
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-2175-3

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