Energy Efficient Co-Operative Spectrum Sensing Based On D-S (Dempster-Shafer) Theory For Cognitive Vanet Network

References

[1] World Health Organization, Global status report on road safety, 2013.

[2] C. Y. Yeun,CYYeun, M Al-Qutayri, F. Al-Hawi, Efficient Security Implementation for Emerging VANETs, UbiCC J. 4(4), (2009)

[3] G Abdalla, MA Abu-Rgheff, SM Senouci, Current Trends in Vehicular Ad Hoc Networks (UbiCC Journal - Special Issue, March, 2008)

[4] Wikipedia dedicated short-range communications, http://en.wikipedia.org/

[5] M Zeeshan Hameed, F Fethi, LTE and IEEE 802.11p for vehicular networking: a performance evaluation. EURASIP J. Wirel. Commun. Netw. 2014, 89 (2014)

[6] John B. Kenney, Dedicated Short-Range Communications (DSRC) Standards in the United States, Proc. IEEE: 99(7), (July 2011)

[7] Department for transport, government of UK, road traffic statistics, (2013)

[8] Federal communications commission, spectrum policy task force, Rep. ET Docket no. 02–135, (Nov. 2002).

[9] J Mitola, GQ Maguire, Cognitive radio: making software radios more personal. IEEE Personal Commun. 6, 13–18 (1999)

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

[11] W Zhang, RK Mallik, K Letaief, Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks (IEEE International Conference on, Communications, 2008). Pp 3411–3415

[12] K Fawaz, A Ghandour, Improving Reliability of Safety Applications in Vehicle Ad hoc Networks Through the Implementation of a Cognitive Network. In the Proceedings of the 17th International Conference on Telecommunications, (2010) p. 798–805

[13] MD Felice, and KR Chowdhury, Analyzing the Potential of Cooperative Cognitive Technology on Inter-Vehicle Communication. In the Proceedings of the 2010 IFIP Wireless Days, (Venice, 2010) p. 1–6

[14] Wooseong Kim, Soon Y Oh, CoRoute: A New Cognitive Anypath Vehicular Routing Protocol. In the Proceedings of the 2011 7th International Wireless Communications and Mobile Computing Conference, (2011) p.766–771

[15] L Husheng, DK Irick, Collaborative Spectrum Sensing in Cognitive Radio Vehicular Ad hoc Networks: Belief Propagation on Highways. In the Proceedings of the 2010 71st IEEE Vehicular Technology Conference, (Taipei, 2010), p. 1–5

[16] E R Nyanhete, Mzyece, K Djouani, Operation and performance of cognitive radios in vehicular environments. Tshwane University of Technology (2011)

@article{1701903,
      author = {R. Asila, PROF. C. Meena},
      title = {Energy Efficient Co-Operative Spectrum Sensing Based On D-S (Dempster-Shafer) Theory For Cognitive Vanet Network},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {8},
      pages = {4-7},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701903.pdf},
      abstract = {A cognitive radio (CR) is an intelligent radio transceiver proposed to utilize the optimum wireless channels in its vicinity. It automatically detects available channels in wireless spectrum, and then consequently changes its broadcast or reception parameters. Cognitive radio enabled vehicular ad hoc networks (CR-VANETs) is one of the promising architecture in the future VANETs. To deal with these issues, an energy-efficient co-operative spectrum sensing scheme is proposed which can select a representative sensor node set in Cognitive Radio Sensor Network (CRSN), under given constraints. The representative nodes set which consists of the nodes can provide gains for detecting the licensed users (LU) states is a subset of the nodes deployed in the network. Based on the spectrum detection information provided by the selected representative nodes, the D-S theory of evidence is employed to derive the activity states of LU while keeping the same spectrum sensing accuracy if not better. NS2 simulation  results are provided to demonstrate the suitability of the CF-CPSC for scenarios of practical interest in CR-VANET},
      keywords = {Cognitive Radio Vehicular Adhoc Network (CR-VANET), Dempster-shafer (D-S), Licensed users (LU), Cognitive Radio Sensor Network (CRSN)},
      month = {February},
  }