Analysis of TCP performance over mobile ad hoc networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
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PIHSN '02 Proceedings of the 7th IFIP/IEEE International Workshop on Protocols for High Speed Networks
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ATCP: TCP for mobile ad hoc networks
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A non-selfish and distributed channel selection scheme for cognitive radio ad hoc networks
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
End-to-end protocols for Cognitive Radio Ad Hoc Networks: An evaluation study
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WWIC'11 Proceedings of the 9th IFIP TC 6 international conference on Wired/wireless internet communications
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Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
Proceedings of the 5th International ICST Conference on Simulation Tools and Techniques
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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.