{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:11:18Z","timestamp":1775067078574,"version":"3.50.1"},"reference-count":37,"publisher":"Engineering and Technology Publishing","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["jcm"],"published-print":{"date-parts":[[2021]]},"abstract":"<jats:p>Intelligent Transport System (ITS) has emerged as the most probable technology for improved transport experience more so in environments with high vehicular density. Effective vehicular communication is however hindered by spectrum scarcity due to the already crowded licensed spectrum. This has led to the emergence of Cognitive Radio (CR) systems as a solution to the spectrum scarcity problem. A crucial component in CR is spectrum sensing. Various spectrum sensing techniques including Cyclostationary, Matched Filter, and Energy detection have been proposed and applied with varied outcomes. In this paper, the above mentioned detection techniques are discussed and an improved energy detection based cooperative spectrum sensing scheme is proposed for improved communication in vehicular ad hoc networks (VANET). The proposed scheme showed an improvement in the performance of a network which in turn could lead to more efficient utilization of spectrum.<\/jats:p>","DOI":"10.12720\/jcm.16.7.259-266","type":"journal-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T03:51:00Z","timestamp":1634701860000},"page":"259-266","source":"Crossref","is-referenced-by-count":4,"title":["Spectrum Sensing on High Density Cognitive Radio Vehicular Ad Hoc Network"],"prefix":"10.12720","author":[{"name":"Pan African University, Institute for Basic Sciences, Technology, and Innovation, Kenya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. V.","family":"Rop","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P. K.","family":"Langat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H. A.","family":"Ouma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"4977","published-online":{"date-parts":[[2021]]},"reference":[{"key":"ref0","doi-asserted-by":"publisher","unstructured":"[1] A. Riyahi, M. Sebgui, S. Bah, and B. Elgraini, \"Analysis of the impact of cognitive vehicular network environment on spectrum sensing,\" Emerg. Technol. Dev. Countries. AFRICATEK 2017, vol. 206, pp. 22-32, 2018.","DOI":"10.1007\/978-3-319-67837-5_3"},{"key":"ref1","doi-asserted-by":"publisher","unstructured":"[2] F. B. S. De Carvalho, W. T. A. Lopes, M. S. Alencar, and V. S. Jos\u00e9, \"Cognitive vehicular networks : An overview,\" Procedia Comput. Sci., vol. 65, pp. 107-114, 2015.","DOI":"10.1016\/j.procs.2015.09.086"},{"key":"ref2","doi-asserted-by":"publisher","unstructured":"[3] D. Das and S. Das, \"An intelligent approach for resource allocation in the cognitive radio vehicular ad hoc network,\" Trans Emerg. Tel Tech., vol. 28, pp. 1-11, 2017.","DOI":"10.1002\/ett.3159"},{"key":"ref3","doi-asserted-by":"publisher","unstructured":"[4] K. Baraka, L. Safatly, H. Artail, A. Ghandour, and A. El-hajj, \"An infrastructure-aided cooperative spectrum sensing scheme for vehicular ad hoc networks,\" Ad Hoc Networks, vol. 25, pp. 197-212, 2015.","DOI":"10.1016\/j.adhoc.2014.10.012"},{"key":"ref4","doi-asserted-by":"publisher","unstructured":"[5] A. Riyahi, S. Bah, and M. Sebgui, \"Clasification and analysis of spectrum sensing mechanisms in cognitive vehicular networks,\" EAI Endorsed Trans. Smart Cities, vol. 2, no. 7, pp. 1-10, 2018.","DOI":"10.4108\/eai.12-2-2018.154105"},{"key":"ref5","unstructured":"[6] J. R. D, \"Vehicular Ad-Hoc Networks (VANETs) assisted by cognitive radio technology: Current prominence, challenges, and explore trends - a survey,\" Int. J. Sci. Res. Rev., vol. 7, no. 4, pp. 1758-1767, 2018."},{"key":"ref6","unstructured":"[7] R. P. Surender Pal, \"Vanet based simulation using cluster,\" Int. J. Latest Res. Sci. Technol., vol. 6, no. 3, pp. 25-28, 2017."},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"[8] X. He, W. Shi, and T. Luo, \"Survey of cognitive radio VANET,\" KSII Trans. Internet Inf. Syst., vol. 8, no. 11, pp. 3837-3859, 2014.","DOI":"10.3837\/tiis.2014.11.010"},{"key":"ref8","doi-asserted-by":"publisher","unstructured":"[9] S. Yu, J. Liu, J. Wang, and I. Ullah, \"Adaptive double-threshold cooperative spectrum sensing algorithm based on history energy detection,\" Wirel. Commun. Mob. Comput., vol. 2020, pp. 1-12, 2020.","DOI":"10.1155\/2020\/4794136"},{"key":"ref9","doi-asserted-by":"publisher","unstructured":"[10] I. F. Akyildiz, B. F. Lo, and R. Balakrishnan, \"Cooperative spectrum sensing in cognitive radio networks : A survey,\" Phys. Commun., vol. 4, no. 1, pp. 40-62, 2011.","DOI":"10.1016\/j.phycom.2010.12.003"},{"key":"ref10","doi-asserted-by":"publisher","unstructured":"[11] J. M. Lim, Y. C. Chang, M. Y. Alias, and J. Loo, \"Cognitive radio network in vehicular ad hoc network ( VANET ): A survey,\" Cogent Eng., vol. 29, no. 1, pp. 1-19, 2016.","DOI":"10.1080\/23311916.2016.1191114"},{"key":"ref11","unstructured":"[12] R. Adriano and A. D. Souza, \"Simulation platform for performance analysis of cooperative eigenvalue spectrum sensing with a realistic receiver model under impulsive noise,\" Veh. Technol. - Deploy. Appl. INTECH Open Sci., pp. 171-198, 2013."},{"key":"ref12","doi-asserted-by":"publisher","unstructured":"[13] M. Lai, S. Peng, X. Yang, and L. Zhou, \"Fast Two-Step energy detection for spectrum sensing,\" J. Electr. Comput. Eng., vol. 2015, pp. 1-6, 2015.","DOI":"10.1155\/2015\/591627"},{"key":"ref13","doi-asserted-by":"publisher","unstructured":"[14] P. Verma and B. Singh, \"Threshold optimization in energy detection scheme for maximizing the spectrum utilization,\" Procedia Comput. Sci., vol. 93, pp. 191-198, 2016.","DOI":"10.1016\/j.procs.2016.07.200"},{"key":"ref14","doi-asserted-by":"publisher","unstructured":"[15] X. L. Hu, P. H. Ho, and L. Peng, \"Fundamental limitations in energy detection for spectrum sensing,\" J. Sens. Actuator Networks, vol. 7, no. 3, p. 25, 2018.","DOI":"10.3390\/jsan7030025"},{"key":"ref15","unstructured":"[16] M. R. and A. B. A. Razaq, \"Analysis of spectrum sensing techniques in cognitive radio,\" Sci. Int.(Lahore), vol. 29, no. 2, pp. 417-426, 2017."},{"key":"ref16","doi-asserted-by":"publisher","unstructured":"[17] D. Xue, E. Ekici, and M. C. Vuran, \"Cooperative spectrum sensing in cognitive radio networks using multidimensional correlations,\" IEEE Trans. Wirel. Commun. Wirel. Commun., vol. 13, no. 4, pp. 1832-1843, 2014.","DOI":"10.1109\/TWC.2014.022714.130351"},{"key":"ref17","unstructured":"[18] M. M. I. S. Ali, \"Comparative study of spectrum sensing methods in cognitive radio network,\" Int. J. Emerg. Technol. Comput. Appl. Sci. (IJETCAS), vol. 12, no. 1, pp. 91-95, 2015."},{"key":"ref18","doi-asserted-by":"publisher","unstructured":"[19] R. Aswatha, V. Seethalakshmi, K. Murugan, N. Sathishkumar, A. Reethika, and S. Gunanandhini, \"Implementation of cooperative spectrum sensing using cognitive radio testbed,\" Indian J. Sci. Technol., vol. 13, no. 13, pp. 1355-1366, 2020.","DOI":"10.17485\/IJST\/v13i13.94"},{"key":"ref19","doi-asserted-by":"publisher","unstructured":"[20] X. Qian and L. Hao, \"Performance analysis of cooperative sensing over time-correlated rayleigh channels in vehicular environments,\" MDPI Electron. JournalElectronics J., vol. 9, no. 1004, pp. 1-20, 2020.","DOI":"10.3390\/electronics9061004"},{"key":"ref20","doi-asserted-by":"publisher","unstructured":"[21] F. Salahdine, N. Kaabouch, H. El, and G. Matched, \"Matched filter detection with dynamic threshold for cognitive radio networks,\" in Proc. International Conference on Wireless Networks and Mobile Communications (WINCOM), 2015, pp. 1-6.","DOI":"10.1109\/WINCOM.2015.7381345"},{"key":"ref21","unstructured":"[22] A. Trivedi, R. Dubey, and R. B. Ahirwar, \"A review on cooperative spectrum sensing in cognitive radio networks,\" Int. J. Digit. Appl. Contemp. Res., vol. 3, no. 3, pp. 2108-2113, 2014."},{"key":"ref22","unstructured":"[23] A. Bagwari and G. Tomar, \"New cooperative spectrum detectiontechnique in cognitive radio networks,\" Int. J. Wirel. Mob. Commun. Ind. Syst., vol. 3, no. 1, pp. 43-58, 2016."},{"key":"ref23","doi-asserted-by":"publisher","unstructured":"[24] G. H. Alsuhli, A. Khattab, and Y. A. Fahmy, \"Double-Head clustering for resilient VANETs,\" Wirel. Commun. Mob. Comput., vol. 2019, pp. 1-17, 2019.","DOI":"10.1155\/2019\/2917238"},{"key":"ref24","doi-asserted-by":"publisher","unstructured":"[25] D. M. M. Plata and \u00c1. G. A. Re\u00e1tiga, \"Evaluation of energy detection for spectrum sensing based on the dynamic selection of detection-threshold,\" Procedia Eng., vol. 35, pp. 135-143, 2012.","DOI":"10.1016\/j.proeng.2012.04.174"},{"key":"ref25","doi-asserted-by":"publisher","unstructured":"[26] A. Ostovar, \"Cooperative spectrum sensing optimal threshold selection in cognitive radio networks,\" Internet Technol. Lett., vol. 3, no. e197, pp. 1-6, 2020.","DOI":"10.1002\/itl2.197"},{"key":"ref26","unstructured":"[27] A. Folaponmile, O. J. B, and M. A. Abubakar, \"Threshold optimization of energy detector using fuzzy logic for cognitive radio,\" Jorind, vol. 14, no. 1, pp. 1-12, 2016."},{"key":"ref27","doi-asserted-by":"publisher","unstructured":"[28] B. Ahuja and K. Sharma, \"Adaptive double threshold based spectrum sensing for cognitive radio networks,\" Int. J. Energy, Inf. Commun., vol. 5, no. 6, pp. 1-16, 2014.","DOI":"10.14257\/ijeic.2014.5.6.01"},{"key":"ref28","doi-asserted-by":"publisher","unstructured":"[29] J. Wang, Q. Wu, X. Zheng, and J. Chen, \"Cooperative Spectrum Sensing,\" Intech Open Sci., pp. 1-15, 2009.","DOI":"10.5772\/7839"},{"key":"ref29","doi-asserted-by":"publisher","unstructured":"[30] R. Mokhtar, B. M. Ali, N. K. Noordin, R. Saeed, and Y. Abdalla, \"Distributed cooperative spectrum sensing in cognitive radio networks with adaptive detection threshold,\" Proc. Asia-Pacific Adv. Netw., vol. 30, p. 90, 2010.","DOI":"10.7125\/APAN.30.13"},{"key":"ref30","doi-asserted-by":"publisher","unstructured":"[31] D. Zhang, X. Lin, and H. Zhang, \"An improved clustering cooperative spectrum sensing algorithm,\" J. Comput., vol. 8, no. 10, pp. 2678-2681, 2013.","DOI":"10.4304\/jcp.8.10.2678-2681"},{"key":"ref31","doi-asserted-by":"publisher","unstructured":"[32] A. L. I. \u00c7alhan, \"A fuzzy logic based clustering strategy for improving vehicular ad-hoc network performance,\" Sadhana - Acad. Proc. Eng. Sci., vol. 40, no. 2, pp. 351-367, 2015.","DOI":"10.1007\/s12046-014-0315-9"},{"key":"ref32","doi-asserted-by":"publisher","unstructured":"[33] X. Li, T. Song, Y. Zhang, G. Chen, and J. Hu, \"A hybrid cooperative spectrum sensing scheme based on spatial-temporal correlation for CR-VANET,\" IEEE, pp. 1-6, 2018.","DOI":"10.1109\/VTCSpring.2018.8417742"},{"key":"ref33","doi-asserted-by":"publisher","unstructured":"[34] Y. Liu, J. Liang, N. Xiao, X. Yuan, Z. Zhang, and M. Hu, \"Adaptive double threshold energy detection based on markov model for cognitive radio,\" Pone, vol. May, pp. 1-18, 2017.","DOI":"10.1371\/journal.pone.0177625"},{"key":"ref34","unstructured":"[35] S. Shellhammer and G. Chouinard. (2006). IEEE P802.22 wireless RANs - spectrum sensing requirements summary. [Online]. pp. 1-10. Available: http:\/\/www.ieee802.org"},{"key":"ref35","doi-asserted-by":"publisher","unstructured":"[36] A. J. Onumanyi, E. N. Onwuka, A. M Aibinu, O. C. Ugweje, and M. J. E. Salami, \"A modified Otsu's algorithm for improving the performance of the energy detector in cognitive radio,\" Int. J. Electron. Commun., vol. 79, no. September 2017, pp. 53-63, 2017.","DOI":"10.1016\/j.aeue.2017.04.013"},{"key":"ref36","doi-asserted-by":"publisher","unstructured":"[37] A. Kumar, P. Thakur, S. Pandit, and G. Singh, \"Analysis of optimal threshold selection for spectrum sensing in a cognitive radio network: An energy detection approach,\" Wirel. Networks, vol. 25, no. 7, pp. 3917-3931, 2019.","DOI":"10.1007\/s11276-018-01927-y"}],"container-title":["Journal of Communications"],"original-title":[],"link":[{"URL":"http:\/\/www.jocm.us\/uploadfile\/2021\/0618\/20210618051806163.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,25]],"date-time":"2021-11-25T01:16:02Z","timestamp":1637802962000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.jocm.us\/show-257-1667-1.html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":37,"URL":"https:\/\/doi.org\/10.12720\/jcm.16.7.259-266","relation":{},"ISSN":["2374-4367"],"issn-type":[{"value":"2374-4367","type":"print"}],"subject":[],"published":{"date-parts":[[2021]]}}}