An Improved Selfish Node Detection Algorithm for Cognitive Radio Mobile Ad Hoc Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10788-4.pdf
Reference31 articles.
1. Zhang, W., Mallik, R. K., & Letaief, K. B. (2009). Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks. IEEE Transactions on Wireless Communications, 8(9), 5761–5766. https://doi.org/10.1109/TWC.2009.12.081710
2. Feng, J., Lu, G., & Min, X. (2014). Social incentives for cooperative spectrum sensing in distributed cognitive radio networks. KSII Transactions on Internet and Information Systems, 8(2), 134–144. https://doi.org/10.3837/tiis.2014.02.002
3. Dai, J., & Wang, S. (2017). Clustering-based spectrum sharing strategy for cognitive radio networks. IEEE Journal on Selected Areas in Communications, 35(1), 228–237. https://doi.org/10.1109/JSAC.2016.2633698
4. Muñoz, C., Rodriguez-Colina, E., Pedraza, L. F., & Paez, I. P. (2020). Detection of dynamic location primary user emulation on mobile cognitive radio networks using USRP. Journal on Wireless Communications Network. https://doi.org/10.1186/s13638-020-1657-0
5. Kockaya, K., & Develi, I. (2020). Spectrum sensing in cognitive radio networks: threshold optimization and analysis. Journal on Wireless Communications and Networking. https://doi.org/10.1186/s13638-020-01870-7
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Cross-layer Design Based Common Data Channel Selection Scheme in Cognitive Radio Ad-hoc Network;Wireless Personal Communications;2024-07-31
2. Experimental testing and analysis of regression algorithms for spectrum sensing in cognitive radio networks;Wireless Networks;2024-05-14
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3