Abstract
Collaborative spectrum sensing (CSS) plays a vital role in achieving accurate spectrum sensing results in a cognitive radio network (CRN). However, CSS in infrastructure-less CRNs is a challenging task as there is no central authority which aggregates individual sensing reports to take a final decision. Hence, it becomes the responsibility of each node to aggregate sensing reports of other nodes to take the final decision. Towards this end, we present two collaborative spectrum sensing techniques for infrastructure-less CRN based on message passing. The first technique is distributed binary decision-based CSS (DBCSS), in which a node broadcasts its sensing report and uses the binary decisions of its h-hop neighbors for making its final sensing decision. The second one is distributed cluster-based CSS (DCCSS) in which a cluster head consolidates the sensing reports in its cluster into a message and broadcast this message in the network. We support the validity of the proposed schemes through extensive simulation results.
Similar content being viewed by others
References
Mitola J (1999) Cognitive radio for flexible mobile multimedia communications. In: Proceedings of IEEE international workshop on mobile communications, San Diego, pp 3-10
Mitola J (2000) Cognitive radio: an integrated agent architecture for software defined radio. Royal Institute of Technology (KTH, Ph.D. dissertation
Ghasemi A, Sousa E (2005) Collaborative spectrum sensing for opportunistic access in fading environment. In: Proceedings of IEEE DySPAN, USA, pp 131-136
Mishra S, Sahai A, Brodersen R (2006) Cooperative sensing among cognitive radio. In: Proceedings of IEEE international conference on communications, Turkey, 1658-1663
Letaief K B, Zhang W (2009) Cooperative communications for cognitive radio networks. Proc IEEE 97 (5):878–893
Chen R, Park J, Hou T, Reed J (2008) Towards secure distributed spectrum sensing in cognitive radio networks. IEEE Commun Magazine 46(4):50–55
Fragkidakis A G, Tragos E Z, Askoxylakis I G (2013) A survey on security threats and detection techniques in cognitive radio networks. IEEE Commun Surv Tutorials 15(1):428–445
Ian Akyildiz F, Won-Yeol L, Mehmet Varun C, Mohanty S (2006) Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Comp Netws 50(13):2127–2159
Garin F, Schenato L (2010) A survey on distributed estimation and control applications using linear consensus algorithms. In: Networked control systems. LNCIS, vol 406. Springer, London, pp 75–107
Kar S, José Moura MF (2009) Distributed consensus algorithms in sensor networks with imperfect communication: link failures and channel noise. IEEE Trans Signal Process 57(1):355–369
Yildizy ME, Aysaly TC, Barnet KE (2009) In-network cooperative spectrum sensing. In: Proceedings of 17th European signal processing conference, UK, pp 1903-1907
Ejaz W, Hasan N, Seok Kim H, Azam MA (2011) Fully distributed cooperative spectrum sensing for cognitive radio AdHoc networks. In: Proceedings of frontiers of information technology. FIT, Islamabad, pp 9–13
Zhiqiang L, Yu F R, Huang M (2010) A distributed consensus-based cooperative spectrum-sensing scheme in cognitive radios. IEEE Trans Veh Technol 59(1):383–393
Zhiqiang L, Yu F R, Minyi H (2009) Distributed spectrum sensing in cognitive radio networks. In: Proceedings of IEEE wireless communications and networking conference. WCNC, Budapest, pp 1–5
Raza A, Ahmed S S, Ejaz W, Hyung SK (2012) Cooperative spectrum sensing among mobile nodes in cognitive radio distributed network. In: Proceedings of 10th international conference on frontiers of information technology. FIT, Islamabad, pp 18–23
Yu F R, Huang M, Tang H (2010) Biologically inspired consensus-based spectrum sensing in mobile AdHoc networks with cognitive radios. IEEE Netw 24(3):26–30
Yu F R, Tang H, Huang M, Zhiqiang L, Mason PC (2009) Defense against spectrum sensing data falsification attacks in mobile ad hoc networks with cognitive radios. In: Proceedings of IEEE military communications conference (MILCOM), Boston, USA, pp 1–7
Tang H, Yu F R, Huang M, Li Z (2012) Distributed consensus-based security mechanisms in cognitive radio mobile ad hoc networks. IET Commun 6(8):974–983
Sheng L, Zhu H, Li S, Xu L, Chen C, Guan X (2012) An adaptive deviation-tolerant s scheme for distributed cooperative spectrum sensing. In: Proceedings of IEEE GLOBECOM, USA, pp 603-608
Qiben Y, Ming L, Jiang T, Wenjing L, Hou YT (2012) Vulnerability and protection for distributed consensus-based spectrum sensing in cognitive radio networks. In: Proceedings of IEEE INFOCOM, USA, pp 900-908
Vosoughi A, Cavallaro JR, Marshall A (2015) Robust consensus-based cooperative spectrum sensing under insistent spectrum sensing data falsification attacks. In: Proceedings of IEEE GLOBECOM, San Diego, pp 1-6
Vosoughi A, Cavallaro J R, Marshall A (2016) Trust-aware consensus-inspired distributed cooperative spectrum sensing for cognitive radio Ad Hoc networks. IEEE Trans Cogn Commun Netws 2(1):24–37
Vosoughi A, Cavallaro JR, Marshall A (2014) A cooperative spectrum sensing scheme for cognitive radio ad hoc networks based on gossip and trust. In: Proceeding IEEE GlobalSIP, Atlanta, pp 1175-1179
Wang J, Chen IR, Tsai JJP, Wang DC (2016) Trust-based cooperative spectrum sensing against SSDF attacks in distributed cognitive radio networks. In: Proceedings of IEEE CQR, USA, pp 1-6
Zheng S, Yang X, Lou C (2011) Distributed consensus algorithms for decision fusion based cooperative spectrum-sensing in cognitive radios. In: Proceedings of 11th international conference on communications and information technologies. ISCIT, China, pp 217–221
Li H, Liu X, Xu L (2014) Analysis of distributed consensus-based spectrum sensing algorithm in cognitive radio networks. In: Proceedings of 10th international conference on computational intelligence and security (CIS), Kunming, pp 593–597
Bera D, Maheshwari S, Chakrabati I, Pathak SS (2014) Decentralised cooperative spectrum sensing in cognitive radio without fusion center. In: Proceedings of 20th national conference on communication. NCC, Kanpur, pp 1–5
Rajkumari R, Marchang N (2015) Distributed binary decision-based collaborative spectrum sensing in infrastructure-less cognitive radio network. In: Proceedings of 3rd international symposium on women in computing and informatics. WCI, India, pp 335–340
Jeng A A, Jan R H (2007) The r-neighborhood graph: an adjustable structure for topology control in wireless Adhoc networks. IEEE Trans Parallel and Dist Syst 18(14):536–549
Lin C R, Gerla M (1997) Adaptive clustering for mobile wireless networks. IEEE J Sel Areas Commun 15 (7):1265–1275
Yucek T, Arslan H (2011) A survey of spectrum algorithms for cognitive radio applications. IEEE Commun Surv Tutorials 11(1):116–130
Althunibat S, Palacios R, Granelli F (2012) Energy-efficient spectrum sensing in cognitive radio networks by coordinated reduction of the sensing users. In: Proceedings of IEEE international conference on communications. ICC, Ottawa, pp 1399–1404
Carlos C, Ghosh M, Cavalcanti D, Challapali K (2007) Spectrum sensing for dynamic access of TV bands. In: Proceedings of IEEE 2nd international conference on cognitive radio oriented wireless networks and communications, USA, pp 225–233
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Rajkumari, R., Marchang, N. Binary decision-based collaborative spectrum sensing in infrastructure-less cognitive radio network. Ann. Telecommun. 73, 677–688 (2018). https://doi.org/10.1007/s12243-018-0670-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12243-018-0670-3