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研究生:吳宜家
研究生(外文):Wu, Yi-Jia
論文名稱:異構無線感知網路接收端選擇方法
論文名稱(外文):Receiver Selection for Heterogeneous Cognitive Radio Networks
指導教授:趙志民趙志民引用關係
指導教授(外文):Chao, Chih-Min
口試委員:張志勇張貴雲
口試委員(外文):Chang, Chih-YungChang, Guey-Yun
口試日期:2016-01-06
學位類別:碩士
校院名稱:國立臺灣海洋大學
系所名稱:資訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:14
中文關鍵詞:異構無線感測網路跳頻協定吞吐量
外文關鍵詞:Heterogeneous Cognitive Radio NetworksChannel HoppingThroughput
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在無線感知網路中,任兩個節點要通訊的前提是碰面,即任兩個節點同時使用相同頻道。現存大部分的跳頻機制均運作於同構式無線感知網路,即網路中的次要節點都是使用相同的感知無線電,能偵測相同範圍的頻譜。而現在也有一些跳頻方法可運作於異構式無線感知網路,即不同次要節點可能使用不同的感知無線電。我們發現當傳送端同時有多個接收端可選擇(即有封包要傳送至多個接收端)時,現存所有的跳頻協定都沒有仔細處理如何選擇接收端的問題。在本篇文章中,我們在現存無線感知網路跳頻協定上,設計可建構於現存跳頻協定之上、以最快和最有效率為目標的接收端選擇方法(TQB),提高其原跳頻協定之效能。每個節點會根據與鄰居節點使用可用頻道及其可用機率執行TQB決定接收端。模擬結果顯示TQB確實能增進網路效能。
Most existing channel hopping protocols focus on deciding each node’s channel hopping sequence to provide rendezvous between any pair of nodes. In fact, in addition to deciding a node’s channel hopping sequence, how a node selects the order of transmissions also impacts the network performance. How to determine the order of transmissions when a sender has multiple receivers is not handled in existing channel hopping protocols. In this paper, built on top of existing channel hopping protocols, we have designed a Time-and-Quality-Based (TQB) receiver selection scheme. Simulation results verify that the proposed receiver selection scheme can enhance existing channel hopping protocols.
摘要 I
Abstract II
目錄 III
圖目次 IV
表目次 V
第一章 簡介 1
第二章 文獻探討 3
第三章 系統模式與問題定義 6
3.1 網路環境 6
3.2 問題定義 7
第四章 解決方案 8
4.1計算成功傳送封包率 8
4.2決定專屬時槽 9
第五章 模擬 10
第六章 結論 13
參考文獻 14

[1] “Federal Communications Commission Spectrum Policy Task Force. Report of the Spectrum Efficiency Working Group”. ET Docket no. 02-155, 2002.
[2] I. Akyildiz, W. Lee, M. Vuran, and S. Mohanty. “Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey,” Computer Networks, vol. 50, no. 13, pp. 2127–2159, 2006.
[3] Q. Zhao and A. Swami, “A survey of dynamic spectrum access: Signal processing and networking perspectives,” IEEE International Conference on Acoustics, Speech and Signal Processing, 2007.
[4] Y.-C. Liang, K.-C. Chen, G. Y. Li and P. Mähönen. “Cognitive radio networking and communications: An Overview,” IEEE Transactions on vehicular technology. vol. 60, no. 7, Sep. 2011.
[5] C.-M. Chao, H.-Y. Fu, and L.-R. Zhang, “A fast rendezvous guarantee channel hopping protocol for cognitive radio networks,” IEEE Transactions on Vehicular Technology, accepted for publication, 2015. doi:10.1109/TVT.2014.2387377.
[6] C.-M. Chao and H.-Y. Fu, “Supporting fast rendezvous guarantee by randomized quorum and latin square for cognitive radio networks,” IEEE Transactions on Vehicular Technology, pages 101–106, Apr. 2015.
[7] C.-M. Chao and H.-Y. Fu, “A fair and fast rendezvous guarantee channel hopping protocol for cognitive radio networks.”
[8] S.-H. Wu, C.-C.Wu, W.-K. Hon, and K. G. Shin, “Rendezvous for Heterogeneous Spectrum-Agile Devices,” Proc. IEEE INFOCOM, 2014.
[9] C.-C. Wu and S.-H.Wu. “On bridging the gap between homogeneous and heterogeneous rendezvous schemes for cognitive radios.” Proc. ACM MobiHoc, Pages 207-216, 2013.
[10] L. Chen, K. Bian, L. Chen, C. Liu, J.-M. J. Park, and X. Li.A. “Group-theoretic framework for rendezvous in heterogeneous cognitive radio networks,” Proc. ACM MobiHoc, Pages 165-174, 2014.
[11] Z.Gu, H.Pu, Q.-S.Hua, and F C.M. Lau, “Improved rendezvous algorithms for heterogeneous cognitive radio networks.” IEEE INFOCOM, 2015.
[12] H. Liu, Z. Lin, X. Chu and Y.-W. Leung. “Jump-Stay rendezvous algorithm for cognitive radio networks,” IEEE Transactions on parallel and distributed systems, vol. 23, no. 10, Oct. 2012.
[13] https://zh.wikipedia.org/wiki/%E5%B8%95%E6%96%AF%E5%8D%A1%E6%B3%95%E5%89%87

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