Abstract
The advent of cognitive radio (CR) technology in intelligent transportation system (ITS) paved the way for new advancements in vehicular ad hoc network (VANET) communication. The prompt sensing of spectrum is an important issue in CR-VANET minimizing the interference to primary user (PU). In real time, less time means small data. The employment of cooperative sensing along with clustering in CR-VANET mitigates this problem. In this chapter, a clustering scheme using limited data sets is used. Due to the dynamic topology of VANET, a clustering algorithm is used considering node degree, speed and location. The simulation results show that the proposed clustering detects the PU signal in a relatively low SNR condition compared to single-user spectrum sensing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rawat P, Deep Singh K, Chaouchi H, Bonnin J-M (2013) Wireless sensor networks: a survey on recent developments and potential synergies. J Supercomput. doi:10.1007/s11227-013-1021-9
Cseh C (1998) Architecture of the dedicated short-range communications (DSRC) protocol. In: 48th IEEE vehicular technology conference, 1998. VTC 98, vol 3. IEEE, 1998, Ottawa, 18–21 May 1998, pp 2095–2099
Zhu J, Roy S (2003) MAC for dedicated short range communications in intelligent transport system. IEEE Commun Mag 41(12):60–67
Cheng L, Henty BE, Stancil DD, Bai F, Mudalige P (2007) Mobile vehicle-to-vehicle narrow-band channel measurement and characterization of the 5.9 GHz dedicated short range communication (DSRC) frequency band. IEEE J Select Areas Commun 25(8):1501–1516
Di Felice M, Doost-Mohammady R, Chowdhury KR, Bononi L (2012) Smart radios for smart vehicles: cognitive vehicular networks. IEEE Veh Technol Mag 7(2):26–33
Rawashdeh and Mahmud (2012) A novel algorithm to form stable clusters in vehicular ad hoc networks on highways. EURASIP J Wirel Commun Netw 2012:15
Haykin S (2005) Cognitive radio: brain empowered wireless communications. IEEE J Select Areas Commun 23(2)
Papadimitratos P, de La Fortelle A, Evenssen K, Brignolo R, Cosenza S (2009) Vehicular communication systems: enabling technologies, application, and future outlook on intelligent transportation. IEEE Commun Mag, November 2009
Venkatesha Prasad R, Pawelczak P, Hoffmeyer JA, Steven Berger H (2008) Cognitive functionality in next generation wireless networks: standardization effects. IEEE Commun Mag, April 2008
Di Felice M, Doost-Mohammady R, Chowdhury KR, Bononi L (2011) Smart radio for smart vehicles. IEEE Commun Mag, January 2011
Deep Singh K, Rawat P, Bonnin J-M (2014) Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges. EURASIP J Wirel Commun Netw 2014:49
Abeywardana RC, Sowerby KW, Berber SM (2014) Spectrum sensing in cognitive radio enabled vehicular ad hoc networks. In: 7th International conference on ICIAFS, December 2014
Di Felice 7th International Conference on, Chowdhury KR, Bononi L (2010) Analyzing the potential of cooperative cognitive radio technology on intervehicle communication. 978-1-4244-9229-9/10 IEEE
Sun Y, Chowdhury KR (2014) Enabling emergency communication through cognitive radio vehicular network. IEEE Commun Mag, October 2014
Li H, Irick DK (2010) Collaborative spectrum sensing in cognitive radio vehicular adhoc network. In: Networks: belief propagation on highway. IEEE
Lin F, Student Member, IEEE, Qiu RC, Browning JP (2015) Spectrum sensing with small-sized data sets in cognitive radio: algorithms and analysis. Trans Veh Netw 64(1)
Brahmi IH, Djahel S, Doudane YG (2012) A hidden Markov model based scheme for efficient and fast dissemination of safety messages in VANETs. In: Proceedings of the 2012 IEEE global communication conference, pp 177–182
Chai R, Yang B, Li L, Sun X (2013) Clustering-based data transmission algorithms for VANET. In: IEEE 2013 international conference on wireless communications and signal processing (WCSP), pp 1–6
Backlund H, Hedblom A, Neijman N, DBSCAN A density-based spatial clustering of application with noise. Linkopings Universitet—ITN
Qiu RC, Zhang C, Hu Z, Wicks MC (2012) Towards a large scale cognitive radio network testbed: spectrum sensing, system architecture, distributed sensing. J Commun 7(7):552–566
Souid I, Ben Chikha H, Attia R (2014) Blind spectrum sensing in cognitive vehicular ad hoc networks over Nakagami-m fading channels. In: IEEE 2014 international conference on, pp 1–5
Rawash deh ZY, Masud Mahmud S (2012) A novel algorithm to form stable clusters in vehicular ad hoc networks on highways. EURASIP J Wirel Commun Netw 2012:15
Page E (1954) Continuous inspection schemes. Biometrika 41(1/2):100–115
Lin F, Qiu RC, Browning JP (2015) Spectrum sensing with small-sized data sets in cognitive radio: algorithms and analysis. IEEE Trans Veh Technol 64(1):77–87
Abbassi SH, Qureshi IM, Abbasi H, Abbasi H (2016) History-based spectrum sensing in CR-VANETs. EURASIP J Wirel Commun Netw, October 2016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Lakshmi Nandan, S., Sudha, T. (2018). Cooperative Spectrum Sensing in CR-VANET with Small-Sized Data Sets. In: Saini, H., Singh, R., Reddy, K. (eds) Innovations in Electronics and Communication Engineering . Lecture Notes in Networks and Systems, vol 7. Springer, Singapore. https://doi.org/10.1007/978-981-10-3812-9_44
Download citation
DOI: https://doi.org/10.1007/978-981-10-3812-9_44
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3811-2
Online ISBN: 978-981-10-3812-9
eBook Packages: EngineeringEngineering (R0)