Performance Optimization of Ad Hoc on Demand Vector Routing Protocol in Cognitive Radio Network

Full Text (PDF, 457KB), PP.23-32

Views: 0 Downloads: 0

Author(s)

Shruti Singh Roy 1,* P. L. Zade 1

1. Electronics & Telecommunication Y.C.C.E Nagpur, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijwmt.2018.03.03

Received: 12 Feb. 2018 / Revised: 22 Feb. 2018 / Accepted: 8 Mar. 2018 / Published: 8 May 2018

Index Terms

Proactive routing protocol, reactive routing protocol, DSDV, AODV, AOMDV, LMAOMDV

Abstract

Mobile Ad Hoc Network has given importance in last few years by researchers. Implementations of Ad Hoc network in cognitive radio environment are emerging kind of wireless network [1, 5]. The communication is done by the secondary user in the free frequency band available in the spectrum of the primary user. In this paper, we have projected proficient routing solution by the maintenance of the link for AOMDV protocol for cognitive radio ad hoc Network. We have used ns2 Simulator for simulations. The link maintenance makes the system more efficient that is evaluated by simulation and comparing it with a classical routing protocol.

Cite This Paper

Shruti Singh Roy, P. L. Zade," Performance Optimization of Ad Hoc on Demand Vector Routing Protocol in Cognitive Radio Network", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.8, No.3, pp. 23-32, 2018. DOI: 10.5815/ijwmt.2018.03.03

Reference

[1]Wang and K. R. Liu, “Advances in cognitive radio networks: A survey,” IEEE J. Sel. Topics Signal Process., vol. 5, no. 1, pp. 5–23, Feb. 2011.

[2]Rashmi Mule and Bharati Patil, “ Proactive Source Routing Protocol for Opportunistic Data Forwarding in MANETs”, International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT) International Institute of Information Technology (I²IT), Pune, 2016.

[3]Yean-Fu Wen and Wanjiun Liao, “Spectrum Section Preallocation for Cooperative Sensing and Transmission in Cognitive Radio Ad Hoc Networks”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 66, NO. 10, OCTOBER 2017.

[4]Md E Ahmed, D. I. Kim , J. Y. Kim, and Yoan Shin,” Energy-Arrival-Aware Detection Threshold in Wireless-Powered Cognitive Radio Networks”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 66, NO. 10, OCTOBER 2017.

[5]Lee, W. Y, Akyildiz, I. F., and Chowdhury, K. R., “CRAHNs: Cognitive Radio Ad Hoc Networks,” Ad Hoc Networks (Elsevier) Journal, to appear, vol. 7, July 2009

[6]Prof. S. Mahamuni, V. Mishra and V. M. Wadhai ,"Performance Evaluation of AODV Routing Protocol in Cognitive Radio Ad-hoc Network", International Journal of Wireless & Mobile Networks (IJWMN) Vol. 3, No. 5, October 2011. 

[7]S. Selvakanmani and Dr. M. Sumathi, “Overview and literature survey on routing protocols for mobile cognitive radio ad hoc networks”, Computer Science & Information Technology, CS & IT-CSCP 2012

[8]S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201–220, Feb.2005.

[9]J.M. García-Campos, D. G. Reina, S. L. Toral, F. Barrero, N. Bessis, E. Asimakopoulou and R. Hill, “Performance Evaluation of Reactive Routing Protocols for VANETs in Urban Scenarios Following Good Simulation Practices”, 9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2015.

[10]Padmalaya Nayak and Pallavishree Sinha, “Analysis of Random Way Point and Random Walk Mobility Model for Reactive Routing Protocols for MANET Using NetSim Simulator”, 3rd International Conference on Artificial Intelligence, Modelling and Simulation, 2015.

[11]V. Mandhare V. and R. C. Thool, “Comparing the Performance of Proactive and Reactive Routing Protocol in Mobile Ad-Hoc Network”, International Conference on Industrial Instrumentation and Control (ICIC) College of Engineering Pune, India. May 28-30, 2015.

[12]L. Mejaele and E. O. Ochola, “Effect of Varying Node Mobility in the Analysis of Black Hole Attack on MANET Reactive Routing Protocols”, IEEE, 2016.

[13]DaSilva, L. A. and Guerreiro, I., “Sequence-Based Rendezvous for Dynamic Spectrum Access,” in Proc. of IEEE DySPAN, pp. 1–7, October 2008.

[14]Kondareddy, Y. R. and Agrawal, P., “Synchronized MAC Protocol for multi-hop cognitive radio networks,” in Proc. of IEEE Intl. Conf. on Comm. (ICC), pp. 3198–3202, May 2008.

[15]Zhao, J., Zheng, H., and Yang, G.-H., “Spectrum Agile Radios: Utilization and Sensing Architecture,” in Proc. of IEEE International Symposium on Dynamic Spectrum Access Networks, pp. 259–268, November 2005.

[16]M. Gerla, ‘Fisheye state routing protocol (FSR) for ad hoc networks, Internet Draft, draft-ietf-manet-aodv-03.txt, work in progress, 2002.

[17]lajos hanzo and rahim tafazolli, "Asurvey of QoS Routing Solutions for Mobile Ad hoc Networks," IEEE Communications Surveys & Tutorials, 2nd quarte, 2007. 

[18]James Bernsen and D. Manivannan,"Greedy Routing Protocols for Vehicular Ad Hoc Networks," Wireless Communications and Mobile Computing Conference IWCMC 08, vol. 632, no. 637, pp. 6-8, Aug. 2008.

[19]Jamal Toutouh, Enrique Alba, "Optimizing OLSR in VANETS with Differential Evolution: A  Comprehensive Study," ACM DIVANet’11, Miami, Florida, USA., 2011.

[20]Sonam Jain and Sandeep Sahu, "Topology vs. Position based Routing Protocols in Mobile Ad hoc Networks: A Survey," International Journal of Engineering Research & Technology (IJERT), vol. 1, Issue 3, May 2012.