Modeling and performance evaluation of transmission control protocol over cognitive radio ad hoc networks

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Modeling and performance evaluation of transmission control protocol over cognitive radio ad hoc networks

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International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems table of contents

Tenerife, Canary Islands, Spain

SESSION: Cognitive radio networks table of contents

Pages 4-12

Year of Publication: 2009

ISBN:978-1-60558-616-8

Authors

Marco Di Felice	University of Bologna, Bologna, Italy
Kaushik Roy Chowdhury	Northeastern University, Boston, MA, USA
Luciano Bononi	University of Bologna, Bologna, Italy

Sponsor

SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 9, Downloads (12 Months): 9, Citation Count: 0

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ABSTRACT

Cognitive Radio (CR) technology constitutes a new paradigm to provide additional spectrum utilization opportunities in wireless ad hoc networks. Recent research in this field has mainly focused on devising spectrum sensing and sharing algorithms, to allow an opportunistic usage of licensed portions of the spectrum by Cognitive Radio Users (CRUs). However, it is also important to consider the impact of such schemes on the higher layers of the protocol stack, in order to provide efficient end-to-end data delivery. Since TCP is the de facto transport protocol standard on Internet, it is crucial to estimate its ability in providing stable end-to-end communication over Cognitive Radio Ad Hoc Networks (CRAHNs). The contributions of this paper are twofold. First, we propose an extension of the NS-2 simulator to support realistic simulation of CRAHNs. Our extension allows to model the activities of Primary Users (PUs), and the opportunistic spectrum management by CRUs in the licensed band. Second, we provide an accurate simulation analysis of the TCP performance over CRAHNs, by considering the impact of three factors: (i) spectrum sensing cycle, (ii) interference from PUs and (iii) channel heterogeneity. The simulation results show that the sensing interval and the PU activity play a critical role in deciding the optimal end-to-end performance, and reveals the inadequacy of classical TCP to adapt to variable spectrum conditions.

REFERENCES

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