nach oben

vorheriger Artikel Single-Adversary Relaying Attack Defense Mechan...

nächster Artikel Link-Node Characterization for Energy-Efficient...

Tipp

Secure Distributed Routing Algorithm with Optimizing Energy Consumption for Cognitive Radio Networks

Zeitschrift:: Wireless Personal Communications > Ausgabe 4/2013

Autoren:: Jiwen Guo, Xianwei Zhou

Abstract

In cognitive radio networks, the non-cooperative behavior is an inherent security issue. Then it is important to guarantee the support of the cooperation among nodes. In this paper, first the distributed routing problems with optimizing energy use are translated into a 0–1 integer programming problem by analyzing the dynamical power interference among nodes. Secondly, the key allocation about end nodes is devised to realize the confidentiality about data transmission. Thirdly, a secure distributed routing algorithm (SDRA) with energy use is proposed to ensure the security on end-to-end communication. The simulation and analysis show that the energy use for the SDRA is lower than that of the spectrum and energy aware routing protocol. Moreover, the trust mechanism based on Bayesian theorem is more compatible than that of Beta function for distributed routing algorithm in the actual situation.

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Jetzt einloggen Kostenlos registrieren

Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 50.000 Bücher
über 380 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Umwelt
Maschinenbau + Werkstoffe

Testen Sie jetzt 30 Tage kostenlos.

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 69.000 Bücher
über 500 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Umwelt
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Testen Sie jetzt 30 Tage kostenlos.

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 58.000 Bücher
über 300 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Testen Sie jetzt 30 Tage kostenlos.

Jetzt informieren

Raychaudhuri, D., Jing, X., Seskar, I., Le, K., & Evans, J. B. (2008). Cognitive radio technology: Form distributed spectrum coordination to adaptive network collaboration. Pervasive Mobile Computing, 4(3), 278–302. CrossRef

Akyildiz, I. F., Lee, W. Y., & Chowdhury, K. R. (2009). CRAHNs: Cognitive radio ad hoc networks. Ad hoc Networks, 7(5), 810–836. CrossRef

Mahmoud, Q. H. (2007). Cognitive networks: Towards self-aware networks. Chichester: Wiley. CrossRef

Chandrashekar, S., & Lazos, L. (2010). A primary user authentication system for mobile cognitive radio networks. In Proceedings of the 3rd international symposium on applied sciences in biomedical and communication technologies, Roma, Italy, November 7–10, 2010. New Jersey: IEEE Computer Society.

Chen, R., Park, J. M., & Reed, J. H. (2008). Defense against primary user emulation attacks in cognitive radio networks. IEEE Journal of Selected Areas in Communications, 26(1), 25–37. CrossRef

Liu, Y., Ning, P., & Dai, H. (2010). Authenticating primary users’ signals in cognitive radio networks via integrated cryptographic and wireless link signatures. In Proceedings of the 2010 IEEE symposium on security and privacy. May, 2010. Washington, DC: ACM.

Zhao, C., Xie, L., Jiang, X., Huang, L., & Yao, Y. (2010). A PHY-layer authentication approach for transmitter identification in cognitive radio networks. In Proceedings of the 2010 international conference on communications and mobile computing, Shenzhen, China, April 12–14, 2010. New Jersey: IEEE Computer Society.

Akbari, M., & Falahati, A. (2010). SSDF protection in cooperative spectrum sensing employinga computational trust evaluation algorithm. In Proceedings of the 5th international symposium on telecommunications, Tehran, Iran, December 4–6, 2010. New Jersey: IEEE Computer Society.

Liu, Q., Gao, J., Guo, Y., & Liu, S. (2010). Consensus-based cooperative spectrum sensing with improved robustness against SSDF attacks. Frequenz, 65(3–4), 103–107.

10.

Prasad, N. R. (2008). Secure cognitive networks. In Proceedings of the 1st European wireless technology conference, Amsterdam, The Netherlands, October 27–31, 2008. New Jersey: IEEE Computer Society.

11.

Sethi, A., & Brown, T. X. (2008). Hammer model threat assessment of cognitive radio denial of service attacks. In Proceedings of the 3rd IEEE symposium on new frontiers in dynamic spectrum access networks, Chicago, United States, October 14–17, 2008. New Jersey: IEEE Computer Society.

12.

Shaukat, R., Khan, S. A., & Ahmed, A. (2008). Threats identification and their solution in inter-basestation dynamic resource sharing IEEE-802.22. In Proceedings of the 2008 international conference on convergence and hybrid information technology, Daejeon, Korea, August 28–29, 2008. New Jersey: IEEE Computer Society.

13.

Zhang, L., & Zheng, G. (2010). Reliable information transmission: A chaotic sequence-based authentication scheme for radio environment maps enabled cognitive radio networks. International Journal of Digital Content Technology and its Applications, 4(4), 48–57. CrossRef

14.

Vaman, D. R., & Qian, L. (2008). Cognitive radio mixed sensor and mobile ad hoc networks (SMANET) for dual use applications. In Proceedings of the 2008 IEEE international conference on systems, man and cybernetics, October 12–15, 2008. New Jersey: IEEE Computer Society.

15.

Kim, H. S. (2011). Location-based authentication protocol for first cognitive radio networking standard. Journal of Network and Computer Applications, 34(4), 1160–1167. CrossRef

16.

Kuroda, M., Nomura, R., & Trappe, W. (2007). A radio-independent authentication protocol (EAP-CRP) for networks of cognitive radios. In Proceedings of the 4th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks, San Diego, CA, June 18–21, 2007. New Jersey: IEEE Computer Society.

17.

Nomura, R., Kuroda, M., & Mizuno, T. (2007). Evaluation of EAP based re-authentication protocol for high-speed vehicular handover in cognitive radio networks. In Proceedings of the 2nd international conference on cognitive radio oriented wireless networks and communications, Orlando, FL, United States, August 1–3, 2007. New Jersey: IEEE Computer Society.

18.

Marques, H., Ribeiro, J., Marques, P., Zuquete, A., & Rodriguez, J. (2009). A security framework for cognitive radio IP based cooperative protocols. In Proceedings of the 2009 IEEE 20th personal, indoor and mobile radio communications symposium, Tokyo, Japan, September 13–16, 2009. New Jersey: Institute of Electrical and Electronics Engineers Inc.

19.

Zhu, L., & Mao, H. (2011). An efficient authentication mechanism for cognitive radio networks. In Proceedings of the 2011 Asia-Pacific power and energy engineering conference, Wuhan, China, March 25–28, 2011. New Jersey: IEEE Computer Society.

20.

Zhu, L., & Mao, H. (2010). Research on authentication mechanism of cognitive radio networks based on certification authority. In Proceedings of the 2010 international conference on computational intelligence and software engineering, Wuhan, China, December 10–12, 2010. New Jersey: IEEE Computer Society.

21.

Parvin, S., Han, S., Tian, B., & Hussain, F. K. (2010). Trust-based authentication for secure communication in cognitive radio networks. In Proceedings of the IEEE/IFIP 8th international conference on embedded and ubiquitous computing, Hong Kong, China, December 11–13, 2010. New Jersey: IEEE Computer Society.

22.

Parvin, S., Han, S., Tian, B., & Xie, M. (2010). Authenticated spectrum sharing for secondary users in cognitive radio networks. In Proceedings of the 2010 2nd IEEE international conference on network infrastructure and digital content, Beijing, China, September 24–26, 2010. New Jersey: IEEE Computer Society.

23.

Miller, R., Xu, W., Kamat, P., & Trappe, W. (2007). Service discovery and device identification in cognitive radio networks. In Proceedings of the 2nd IEEE workshop on networking technologies for software defined radio networks, San Diego, CA, United States, June 18–21, 2007. New Jersey: IEEE Computer Society.

24.

Kazemi, M., Aref, M. K., & Attari, M. A. (2010). Cooperative relay cognitive interference channel. In Proceedings of the 2010 IEEE international conference on information theory and information security, Beijing, China, December 17–19, 2010. New Jersey: IEEE Computer Society.

25.

Chen, K. C., Chen, P. Y., Prasad, N., Liang, Y. C., & Sun, S. (2010). Trusted cognitive radio networking. Wireless Communications and Mobile Computing, 10(4), 467–485.

26.

Chen, K. C., Peng, Y. J., Prasad, N., Liang, Y. C., & Sun, S. (2008). Cognitive radio network architecture: Part II—trusted network layer structure. In Proceedings of the 2nd international conference on ubiquitous information management and communication, January, 2008. New York: ACM.

27.

Lee, M., Ye, X., Johnson, S., Marconett, D., Chaitanya V. S. K., Vemuri, R., et al. (2009). Cognitive security management with reputation based cooperation schemes in heterogeneous networks. In Proceedings of the 2009 IEEE symposium on computational intelligence in cyber security, Nashville, TN, United States, March 30-April 2, 2009. New Jersey: IEEE Computer Society.

28.

Guo, J., Zhou, X., Miao, X., & Zhang, Z. (2012). Secure minimum-energy multicast tree based on trust mechanism for cognitive radio networks. Wireless Personal Communications, 67(2), 415–433. CrossRef

29.

Hou, L., Yeung, K. H., & Wong, K. Y. (2011). A vision of energy-efficient routing for cognitive radio ad hoc networks. In Proceedings of the 6th international symposium on wireless and pervasive computing, Hong Kong, China, February 23–25, 2011. New Jersey: IEEE Computer Society.

30.

Kamruzzaman, S. M., Kim, E., & Jeong, D. G. (2011). Spectrum and energy aware routing protocol for cognitive radio ad hoc networks. In Proceedings of the 2011 IEEE international conference on communications, June 5–9, 2011, Kyoto.

31.

Wu, Y., & Tsang., D. H. K. (2010). Joint rate allocation, routing and spectrum sharing for multi-hop cognitive radio networks with imperfect spectrum sensing. In Proceedings of the 6th international wireless communications and mobile computing conference, Caen, France, June 28-July 2, 2010. New York: ACM.

32.

Lent, R. (2006). Linear QoS goals of additive and concave metrics in ad hoc cognitive packet routing. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, 36(6), 1255–1260. CrossRef

33.

Goldsmith, A. (2005). Wireless communications. London: Cambridge University Press. CrossRef

34.

Guo, J., Zhou, X., Yuan, J., & Xu, H. (2013). Secure access control guarding against internal attacks in distributed networks. Wireless Personal Communications, 68(4), 1255–1285. CrossRef

35.

Pous, H. R., & Garrigues, C. (2012). Authenticating hard decision sensing reports in cognitive radio networks. Computer Networks, 56(2), 566–576. CrossRef

36.

Tan, X., Borle, K., Du, W., & Chen, B. (2011). Cryptographic link signatures for spectrum usage authentication in cognitive radio. In Proceedings of the fourth ACM conference on wireless network security, June14–17, 2011. New York: ACM.

Titel: Secure Distributed Routing Algorithm with Optimizing Energy Consumption for Cognitive Radio Networks
Autoren:: Jiwen Guo
Xianwei Zhou
Publikationsdatum: 01.10.2013
DOI: https://doi.org/10.1007/s11277-013-1164-2
Verlag: Springer US
Zeitschrift: Wireless Personal Communications An International Journal
Ausgabe 4/2013
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X

Springer Professional

Tipp

Weitere Artikel dieser Ausgabe durch Wischen aufrufen

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 4/2013

Soft Decision Error Assisted Layered Multiuser Detectors for MIMO 2D Spread MC DS-CDMAs

Traffic-Aware Link Rate Adaptation for Multi-rate 802.11 Networks

Single-Adversary Relaying Attack Defense Mechanism in Wireless Ad Hoc Networks

Performance Analysis and Enhancement for Opportunistic Analog Network Coding with Imperfect CSI

Outage Probability and Ergodic Capacity Analysis for Two-Way Relaying System with Different Relay Selection Protocols

Optimistic Selection of Cluster Heads Based on Facility Location Problem in Cluster-Based Routing Protocols