Network Coding Based Transport Protocol Variants in Cognitive Radio Network
Shine Let G1, Josemin Bala G2, Benin Pratap C3, Magdalene W4
1G. Shine Let, Department of Electronics and Communication, Karunya Institute of Technology and Sciences, (Tamil Nadu), India.
2Josemin Bala G, Department of Electronics and Communication, Karunya Institute of Technology and Sciences, Coimbatore, (Tamil Nadu), India.
3Benin Pratap C, Department of Electronics and Communication, Karunya Institute of Technology and Sciences, Coimbatore, (Tamil Nadu), India.
4Magdalene W, Department of Electronics and Communication, Karunya Institute of Technology and Sciences, Coimbatore, (Tamil Nadu), India.
Manuscript received on 13 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 244-249 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2223037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cognitive radio network has recently got more focus in research due to lack of spectrum resources. The unlicensed users can perform communication in the licensed frequency band. In response to the behavior of licensed users communication, unlicensed users communication need to change from one frequency band to another band. In this communication paradigm, the performance of unlicensed users transmission control protocol gets degraded due to the features of cognitive radio network. To overcome this, several authors suggested quite a few modifications in the existing wireless transport protocol for cognitive radio network environment. This paper gives an overview of different transport protocols used for unlicensed user’s communication in cognitive radio networks. Also, this paper deals with two different network coding algorithms such as dynamic generation size adjustment algorithm and modified joint generation network coding implemented in transport layer of cognitive-radio based communication. Simulation work is carried out in NS3, as the sensing time of unlicensed user changes the different quality-of-service parameters are analyzed.
Keywords: Cognitive Radio Network, Congestion Window, Network Coding, Primary User, Secondary User, Transport Protocol.
Scope of the Article: Computer Network