Performance enhancement for harvest-to-transmit cognitive multi-hop networks with best path selection method under presence of eavesdropper

Tran Dinh Hieu, Tran Trung Duy, S. Choi
{"title":"Performance enhancement for harvest-to-transmit cognitive multi-hop networks with best path selection method under presence of eavesdropper","authors":"Tran Dinh Hieu, Tran Trung Duy, S. Choi","doi":"10.23919/ICACT.2018.8323741","DOIUrl":null,"url":null,"abstract":"This paper proposes a path-selection protocol to enhance outage performance for harvest-to-transmit (HT) multi-hop cooperative cognitive radio networks. In the proposed protocol, one of available paths between a secondary source and a secondary destination is chosen to send the source data to the destination. The source and relays on the selected path must harvest energy from the radio frequency (RF) signals of ambient beacons for the data transmission. Under the presence of a primary user (PU) and a secondary eavesdropper (E), these transmitting nodes also have to adjust their transmit power to satisfy an interference constraint given by PU as well as to against eavesdropping attacks from E. For performance evaluation, we derive exact and asymptotic closed-form expressions of end-to-end outage probability (OP) for the proposed scheme over Rayleigh fading channel. Monte Carlo simulations are then performed to validate the theoretical derivations.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 20th International Conference on Advanced Communication Technology (ICACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICACT.2018.8323741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23

Abstract

This paper proposes a path-selection protocol to enhance outage performance for harvest-to-transmit (HT) multi-hop cooperative cognitive radio networks. In the proposed protocol, one of available paths between a secondary source and a secondary destination is chosen to send the source data to the destination. The source and relays on the selected path must harvest energy from the radio frequency (RF) signals of ambient beacons for the data transmission. Under the presence of a primary user (PU) and a secondary eavesdropper (E), these transmitting nodes also have to adjust their transmit power to satisfy an interference constraint given by PU as well as to against eavesdropping attacks from E. For performance evaluation, we derive exact and asymptotic closed-form expressions of end-to-end outage probability (OP) for the proposed scheme over Rayleigh fading channel. Monte Carlo simulations are then performed to validate the theoretical derivations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
窃听者存在下基于最佳路径选择方法的收获-传输认知多跳网络性能增强
提出了一种提高多跳协作认知无线网络中断性能的路径选择协议。在提议的协议中,选择辅助源和辅助目标之间的一条可用路径将源数据发送到目标。选定路径上的源和中继必须从环境信标的射频(RF)信号中获取能量以进行数据传输。在主用户(PU)和副窃听者(E)存在的情况下,这些发送节点还必须调整其发射功率以满足PU给出的干扰约束以及来自E的窃听攻击。为了评估性能,我们推导了所提出方案在瑞利衰落信道上的端到端中断概率(OP)的精确和渐近封闭形式表达式。然后进行蒙特卡罗模拟来验证理论推导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A cooperative trilateration technique for object localization SvgAI — Training artificial intelligent agent to use SVG editor EEG-signals based cognitive workload detection of vehicle driver using deep learning What are the optimum quasi-identifiers to re-identify medical records? Customized embedded system design for lower limb rehabilitation patients
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1