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Cognitive radio network architecture: part II -- trusted network layer structure

Published: 31 January 2008 Publication History

Abstract

Cognitive radios shall form cognitive radio network (CRN) to complete the packets delivery. As cognitive radio network is a general multihop wireless heterogeneous network, trust becomes a critical factor for network layer functions and network operation. We explore and develop the mathematical framework of trust in CRN, to further develop trusted routing with relevant explorations on network layer and above functions.

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  • (2021)Trust Aware Scheme based Malicious Nodes Detection under Cooperative Spectrum Sensing for Cognitive Radio NetworksAdjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking10.1145/3427477.3429992(56-61)Online publication date: 5-Jan-2021
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cover image ACM Conferences
ICUIMC '08: Proceedings of the 2nd international conference on Ubiquitous information management and communication
January 2008
604 pages
ISBN:9781595939937
DOI:10.1145/1352793
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 31 January 2008

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Author Tags

  1. cognitive radio network
  2. heterogeneous wireless networks
  3. security
  4. trusted routing
  5. ubiquitous computing
  6. wireless networks

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Cited By

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  • (2024)MH-SIA: multi-objective handover using swarm intelligence algorithm for future wireless communication systemWireless Networks10.1007/s11276-024-03661-030:4(2617-2632)Online publication date: 1-May-2024
  • (2022)Prediction of Cognitive Radio Networks (CNRs) Using COPRASJournal on Electronic and Automation Engineering10.46632/jeae/1/1/41:1(27-34)Online publication date: 1-Dec-2022
  • (2021)Trust Aware Scheme based Malicious Nodes Detection under Cooperative Spectrum Sensing for Cognitive Radio NetworksAdjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking10.1145/3427477.3429992(56-61)Online publication date: 5-Jan-2021
  • (2021)Optimal Detection Technique for Primary User Emulator in Cognitive Radio Network2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS)10.1109/ICMEAS52683.2021.9739814(1-6)Online publication date: 15-Jul-2021
  • (2020)Perspectives on Cognitive Radio NetworksDevelopments in Cognitive Radio Networks10.1007/978-3-030-64653-0_2(13-28)Online publication date: 14-Dec-2020
  • (2018)IntroductionAdversary Detection For Cognitive Radio Networks10.1007/978-3-319-75868-8_1(1-6)Online publication date: 8-Mar-2018
  • (2017)Design of a novel dynamic trust model for spectrum management in WRANs of TV white spaceJournal of Network and Computer Applications10.1016/j.jnca.2017.09.007100:C(1-10)Online publication date: 15-Dec-2017
  • (2016)Solving resource allocation problems in cognitive radio networks: a surveyEURASIP Journal on Wireless Communications and Networking10.1186/s13638-016-0673-62016:1Online publication date: 29-Jul-2016
  • (2015)Cooperative Spectrum Sensing with Trust Assistance for Cognitive Radio Vehicular Ad hoc NetworksProceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications10.1145/2815347.2815350(27-33)Online publication date: 2-Nov-2015
  • (2015)Game Theoretic Stimulation MechanismsAnti-Jamming Transmissions in Cognitive Radio Networks10.1007/978-3-319-24292-7_5(47-58)Online publication date: 8-Nov-2015
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