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International Conference on Future Information Technology

International Conference on Multimedia and Ubiquitous Engineering

FutureTech 2017, MUE 2017: Advanced Multimedia and Ubiquitous Engineering pp 171–180Cite as

An Energy-Efficient and Reliable Routing Protocol for Cognitive Radio Sensor Networks

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 448))

Abstract

With rapid advances in wireless communications and networking technologies, the demand for high speed, wireless and ubiquitous connectivity continues to increase in order to cope with new services and applications. Increasing demand for spectral resources has introduced the problem of spectrum scarcity. Moreover, the static spectrum allocation policy for wireless communications can cause the issue of spectrum underutilization. Cognitive Radio (CR) offers promising solution for spectrum shortage and underutilization problem by means of dynamic spectrum management. Routing in Cognitive Radio Sensor Networks (CRSNs) is a very challenging task due to energy constraints, opportunistic spectrum access, dynamic topology changes as well as intermittent connectivity caused by activities of Primary Users (PUs). This paper proposes the Energy-efficient and Reliable Cognitive Ad-hoc Routing Protocol (ERCARP) with an aim to provide reliable transmission path and prolong network lifetime in CRSNs. The protocol takes account of packet loss probability, link latency and residual energy for path establishment. Furthermore, by utilizing the joint path and spectrum diversity in routing, the multi-path multi-channel routes are given for fast route recovery. The protocol performance is compared with that of the Dual Diversity Cognitive Ad-hoc Routing Protocol (D2CARP) through simulations using NS-2 simulator. The simulation results obviously prove that ERCARP outperforms D2CARP in terms of packet loss, energy efficiency, end-to-end delay and jitter.

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References

  1. Amanna, A., Reed, J.H.: Survey of cognitive radio architectures. In: Proceedings of the IEEE SoutheastCon Conference, pp. 292–297 (2010)

    Google Scholar 

  2. Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005)

    Article  Google Scholar 

  3. Marinho, J., Monteiro, E.: Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions. Wireless Netw. 18(2), 147–164 (2012)

    Article  Google Scholar 

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

    Article  MATH  Google Scholar 

  5. Puccinelli, D., Haenggi, M.: Wireless sensor networks: applications and challenges of ubiquitous sensing. IEEE Circ. Syst. Mag. 5(3), 19–31 (2005)

    Article  Google Scholar 

  6. Akyildiz, I.F., Weilian, S., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)

    Article  Google Scholar 

  7. Akan, O.B., Karli, O., Ergul, O.: Cognitive radio sensor networks. IEEE Netw. 23(4), 34–40 (2009)

    Article  Google Scholar 

  8. Cavalcanti, D., Das, S., Jianfeng, W., Challapali, K.: Cognitive radio based wireless sensor networks. In: Proceedings of the 17th International Conference on Computer Communications and Networks, pp. 1–6 (2008)

    Google Scholar 

  9. Yau, K.L.A., Komisarczuk, P., Teal, P.D.: Cognitive radio-based wireless sensor networks: conceptual design and open issues. In: Proceedings of the IEEE 34th Conference on Local Computer Networks, pp. 955–962 (2009)

    Google Scholar 

  10. Issariyakul, T., Hossain, E.: Introduction to Network Simulator NS2. Springer, New York (2012)

    Book  Google Scholar 

  11. Rahman, M.A., Caleffi, M., Paura, L.: Joint path and spectrum diversity in cognitive radio ad-hoc networks. EURASIP J. Wirel. Commun. Netw. 2012(1), 1–9 (2012)

    Article  Google Scholar 

  12. Chowdhury, K.R., Felice, M.D.: SEARCH: a routing protocol for mobile cognitive radio ad-hoc networks. Comput. Commun. 32(18), 1983–1997 (2009)

    Article  Google Scholar 

  13. Beltagy, I., Youssef, M., El-Derini, M.: A new routing metric and protocol for multipath routing in cognitive networks. In: Proceedings of the IEEE Wireless Communications and Networking Conference, pp. 974–979 (2011)

    Google Scholar 

  14. Kamruzzaman, S.M., Eunhee, K., Dong-Geun, J.: Spectrum and energy aware routing protocol for cognitive radio ad hoc networks. In: Proceedings of the IEEE International Conference on Communications, pp. 1–5 (2011)

    Google Scholar 

  15. Cacciapuoti, A.S., Calcagno, C., Caleffi, M., Paura, L.: CAODV: routing in mobile ad-hoc cognitive radio networks. In: Proceedings of the 3rd IEEE/IFIP Wireless Days Conference, pp. 1–5 (2010)

    Google Scholar 

  16. Spachos, P., Hantzinakos, D.: Scalable dynamic routing protocol for cognitive radio sensor networks. IEEE Sens. J. 14(7), 2257–2266 (2014)

    Article  Google Scholar 

  17. Shah, G.A., Akan, O.B.: Spectrum-aware cluster-based routing for cognitive radio sensor networks. In: Proceedings of the IEEE International Conference on Communications, pp. 2885–2889 (2013)

    Google Scholar 

  18. Perkins, C.E., Belding-Royer, E.M., Das, S.R.: Ad hoc on-demand distance vector (AODV) routing. In: RFC 3561, Internet Engineering Task Force (IETF) (2003)

    Google Scholar 

  19. Rocha, F.: NS2 visual trace analyzer (2012). http://nsvisualtraceanalyzer.wordpress.com/. Accessed 1 July 2016

Download references

Author information

Authors and Affiliations

  1. Faculty of Communication Sciences, Prince of Songkla University (PSU), Hat Yai, 94000, Pattani, Thailand

    Zamree Che-aron

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  1. Zamree Che-aron
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Correspondence to Zamree Che-aron .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

  2. School of Computing and Information Sciences, Florida International University, Miami, Florida, USA

    Shu-Ching Chen

  3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, Adelaide, Australia

    Kim-Kwang Raymond Choo

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Che-aron, Z. (2017). An Energy-Efficient and Reliable Routing Protocol for Cognitive Radio Sensor Networks. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_30

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  • DOI: https://doi.org/10.1007/978-981-10-5041-1_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5040-4

  • Online ISBN: 978-981-10-5041-1

  • eBook Packages: EngineeringEngineering (R0)

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