Mobile Cognitive Ad Hoc Networks is the one of the cognitive radio networks which is the advanced networking technologies for spectrum scarcity problem constrain in the Federal Communication Commission (FCC). The cognitive radio networks are the cognitive network which abject its network parameters with respect to network environment. In cognitive radio network two users namely the primary and secondary or cognitive users will access the available spectrum to communicate each other when the spectrum is accessed by the primary user the secondary user must leave the spectrum and access the spectrum when spectrum holes available for transmission. So routing is challenging issues in cognitive networks and it is very challenging in mobile cognitive networks due to the node mobility, primary user interface and spectrum scarcity. A delay minimized routing protocol is proposed for minimum delay route selection between the source and destination, which is improved version of AODV. The numerical and ns2 simulation results for the proposed protocol significantly state that delay minimized routing protocol (DMR) is better in terms of average end-to-end delay and average throughput.

Primary users (PU), delay minimized routing protocol (DMR), spectrum, cognitive radio networks, cognitive users, Mobile Cognitive Ad-Hoc Networks, Dynamic Spectrum Access(DSA), Federal Communication Commission(FCC)

[1] M. McHenry, “Spectrum white space measurements,” presentation to New America Foundation BroadBand Forum, June 20, 2003.
[2] J. Mitola III and G. Maguire Jr, “Cognitive radio: making software radios more personal,” Personal Communications, IEEE [see also IEEE Wireless Communications], vol. 6, no. 4, pp. 13-18, 1999.
[3] FCC, ET Docket No. 03-222 Notice of proposed rule making and order, December 2003.
[4] I.F. Akyildiz, J. Laskar, and Y. Li, “OCRA: OFDM-based cognitive radio networks,” Broadband Wireless Networking Laboratory Technical Report, March 2006.
[5] I.F. Akyildiz, W. Lee, M. Vuran, and S. Mohanty, “Next generation/dynamic spectrum access/cognitive radio wireless networks:
a survey,” Computer Networks, vol. 50, no. 13, pp. 2127-2159, 2006.
[6]Feilong Tang, Can Tang, Yanqin Yang, Laurence T. Yang, Tong Zhou, Jie Li, Minyi Guo,” Delay-Minimized Routing in Mobile Cognitive Networks for Time-Critical Applications” IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 13, NO. 3, JUNE 2017.
[7] Guo-Mei Zhu, Ian F. Akyildiz, Geng-Sheng (G.S.) Kuo.” STOD-RP: A Spectrum-Tree Based On-DemandRouting Protocol for Multi-Hop Cognitive Radio Networks,” 978-1-4244-2324-8/08/$25.00 © 2008 IEEE.
[8] Hsien-Po Shiang and Mihaela van der Schaar,” Distributed Resource Management in Multi-hop Cognitive
Radio Networks for Delay Sensitive Transmission,” This work was supported by ONR.
[9] Suyang Ju and Joseph B. Evans,” Cognitive Multipath Multi-Channel
Routing Protocol for Mobile Ad-Hoc Networks,” 978-1-4244-5638-3/10/$26.00 ©2010 IEEE
[10] L. Indhumathi, R. Vadivel,” Adaptive Delay Tolerant Routing Protocol (ADTRP) for Cognitive Radio Mobile Ad Hoc Networks,” International Journal of Computer Applications (0975 – 8887) Volume 128 – No.6, October 2015
[11] S. Selvakanmani and Dr. M. Sumathi,” OVERVIEW AND LITERATURE SURVEY ON ROUTING PROTOCOLS FOR MOBILE COGNITIVE RADIO AD HOC NETWORKS,” Natarajan Meghanathan, et al. (Eds): SIPM, FCST, ITCA, WSE, ACSIT, CS & IT 06, pp. 235–249, 2012. © CS & IT-CSCP 2012 DOI : 10.5121/csit.2012.2323
[12] Sunita Barve, Kanchan Hadawale,” LINK PREDICTION-BASED ADAPTIVE ROUTING FOR COGNITIVE RADIO MOBILE AD-HOC NETWORKS,” ISSN (Online): 2347-2812, Volume-1, Issue -3, 2013