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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/95361


    Title: Performance Evaluation of Blockchain-Integrated V2X Networks with Multi-Connectivity Management
    Authors: 孫儀婷;Sun, Yi-Ting
    Contributors: 通訊工程學系
    Keywords: 區塊鏈;車聯網;性能分析
    Date: 2024-08-12
    Issue Date: 2024-10-09 16:42:43 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 人們對於將區塊鏈技術用於各種應用感到越來越有興趣,V2X(Vehicle-to-Everything) 通訊也不例外。區塊鏈架構為車輛網路通訊引入了可靠且安全的去中心化系統。然而,在不同區域的 V2X 環境中實施區塊鏈帶來了重大挑戰。為了解決這個問題,我們開發了一種系統架構,將區塊鏈與 V2X 通訊環境的多連接選擇方法整合。該系統解決了在三個不同區域運行並利用多種連接選項的區塊鏈和 V2X 通訊網路之間的整合挑戰。我們詳細定義並解釋了我們系統的操作和機制。此外,我們提出了一種增強型 MAX-SINR 多連接選擇方法,以增強整合網路中的區塊鏈效能。透過不同流量下的效能評估,我們證明了多連接選擇方法對基於區塊鏈的 V2X 網路有效性的關鍵作用。實驗結果表明,與其他方法相比,我們提出的方法具有優越的性能。;There is a growing interest in applying blockchain technology to various applications, and V2X(Vehicle-to-Everything) communication is no exception. The blockchain architecture introduces a reliable and secure decentralized system for vehicular network communication. However, implementing blockchain in a V2X environment with different areas poses significant challenges. We have developed a system architecture that integrates blockchain with a multi-connectivity selection approach for V2X communication environments to address this. This system resolves the integration challenges between blockchain and V2X communication networks operating over three different areas and utilizing multiple connectivity options. We define and explain the operation and mechanisms of our system in detail. Moreover, we propose an Enhanced MAX-SINR multi-connectivity selection method to enhance blockchain performance in integrated networks. Through performance evaluations under different traffic volumes, we demonstrate the critical role of the multi-connectivity selection method in the effectiveness of blockchain-based V2X networks. Experimental results indicate superior performance of our proposed method compared to others.
    Appears in Collections:[Graduate Institute of Communication Engineering] Electronic Thesis & Dissertation

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