An Improved Selfish Node Detection Algorithm for Cognitive Radio Mobile Ad Hoc Networks

Cognitive radio technology is aimed at utilizing the maximum available licensed spectrum for secondary users. However, the performance of a cognitive radio mobile ad hoc network can be degraded significantly due to selfish nodes that preoccupy idle licensed spectrum. Solving selfish attacks has beco...

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Bibliographic Details
Published inWireless personal communications Vol. 133; no. 1; pp. 683 - 697
Main Authors Quy, Vu Khanh, Nguyen, Van-Hau, Linh, Dao Manh, Ban, Nguyen Tien, Han, Nguyen Dinh
Format Journal Article
LanguageEnglish
Published New York Springer US 01.11.2023
Springer Nature B.V
Subjects
Ad hoc networks
Algorithms
Cognitive radio
Communications Engineering
Computer Communication Networks
Engineering
Networks
Nodes
Signal,Image and Speech Processing
Selfish secondary node
MANET
Spectrum sharing
Cognitive radio
Selfish node detection
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Summary:Cognitive radio technology is aimed at utilizing the maximum available licensed spectrum for secondary users. However, the performance of a cognitive radio mobile ad hoc network can be degraded significantly due to selfish nodes that preoccupy idle licensed spectrum. Solving selfish attacks has become an important task in cognitive radio mobile ad hoc networks. We propose a selfish node detection algorithm that can solve the miss detection problem that happened with existing selfish node detection methods. The proposed algorithm reflects network errors to increase detection performance. In the simulation, our proposed algorithm is efficient and reliable for selfish node detection in various network conditions.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-023-10788-4