Wednesday, 25 September 2019

Improving the Qos Performance of Dymo Routing Protocol in Cognitive Radio Ad Hoc Networks

Volume 6 Issue 2 June - August 2018

Research Paper

Improving the Qos Performance of Dymo Routing Protocol in Cognitive Radio Ad Hoc Networks

P. M. Manohar*, S. Pallamsetty**
* Research Scholar, Department of Computer Science Engineering, JNTUK, Kakinada, AndhraPradesh, India.
** Professor, Department of Computer Science and Systems Engineering, AUCE (A), Andhra University, Visakhapatnam, AndhraPradesh, India.
Manohar, P.M.,& Setty ,S.P. (2018). Improving the Qos Performance of Dymo Routing Protocol in Cognitive Radio Ad Hoc Networks. i-manager’s Journal on Computer Science, 6(2),16-33. https://doi.org/10.26634/jcom.6.2.15062

Abstract

Cognitive Radio Networks (CRNs) are the key technology for the efficient utilization of spectrum in wireless networks in a dynamic manner. Mobile Ad hoc Networks (MANETs) using cognitive radio (CR) capability (CR-MANETs) has opened many areas of research. Among them routing in CR-MANETs is a challenging issue. Dynamic MANET On-Demand (DYMO) routing protocol is the successor of Ad hoc On-Demand Distance Vector (AODV) routing protocol. The drawback of AODV is that it does not support larger networks. It is resolved by DYMO routing protocol as it scales larger networks. But, DYMO does not support small network sizes with low mobility speeds. In this paper, CR-DYMO routing protocol for MANETs using cognitive capabilities is proposed using CogNS simulation framework to enhance the QoS performance for all network sizes. The simulations are evaluated using the various performance metrics, such as Average Throughput, Packet Delivery Ratio, Average End-to-End Delay, Routing overhead, Normalized Routing Load, Mean Jitter, Energy Consumed, and Energy Left through responsive (TCP) and non-responsive (UDP) traffic agents. From the results, it is observed that the Modified CR-DYMO routing protocol performs better when compared to DYMO and defacto CR-DYMO through the above-mentioned performance metrics under TCP and UDP traffic agents.

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