Intelligent Resources Management for Vehicular Social Networks: Societal Perspectives and Current Issues in the Digital Era
暫譯: 車輛社交網絡的智能資源管理：數位時代的社會觀點與當前議題
Zhang, Haixia, Li, Dongyang, Xue, Tong
- 出版商: Springer
- 出版日期: 2025-01-28
- 售價: $5,910
- 貴賓價: 9.5 折 $5,615
- 語言: 英文
- 頁數: 134
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031801687
- ISBN-13: 9783031801686
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商品描述
This book explores integrating behavior prediction with artificial intelligence-driven resource management to provide a transformative framework for optimizing vehicular social networks (VSNs). The book starts by providing an overview of the key issues encountered in VSNs, including the dynamic and unpredictable nature of vehicular mobility, varying communication demands, and the need for efficient resource allocation. A significant portion of the book is dedicated to exploring behavior prediction models for vehicles in VSNs. By analyzing the past movements, interactions, and social behaviors of vehicles, this book presents various prediction algorithms to anticipate future positions, communication patterns, and resource requirements. With behavior prediction as a foundation, the book delves into the design and implementation of intelligent resource management systems for VSNs. It demonstrates how predictive capabilities empower these systems to allocate communication, computing and caching resources dynamically. The book extensively evaluates the proposed intelligent resource management approach through extensive simulations and practical experiments. The results showcase the effectiveness of the system, highlighting significant improvements in network performance compared to traditional resource allocation methods. These findings validate the potential of behavior prediction and intelligent resource management in revolutionizing VSNs. Finally, this book provides conclusions and promising directions, hoping to stimulate future research outcomes in the field of vehicular networks from different perspectives. The book serves as an invaluable resource for researchers, engineers, and industry professionals interested in advancing the field of vehicular networks and harnessing behavior prediction to create efficient, safe, and intelligent VSNs.
商品描述(中文翻譯)
本書探討將行為預測與人工智慧驅動的資源管理整合，以提供一個變革性的框架來優化車輛社交網絡（VSNs）。本書首先概述了在 VSNs 中遇到的關鍵問題，包括車輛移動的動態和不可預測性、變化的通信需求以及高效資源分配的必要性。本書的大部分內容專注於探索 VSNs 中車輛的行為預測模型。通過分析車輛的過去運動、互動和社交行為，本書提出了各種預測算法，以預測未來的位置、通信模式和資源需求。以行為預測為基礎，本書深入探討了 VSNs 的智能資源管理系統的設計和實施。它展示了預測能力如何使這些系統能夠動態分配通信、計算和緩存資源。本書通過廣泛的模擬和實際實驗，對所提出的智能資源管理方法進行了深入評估。結果顯示該系統的有效性，並突顯出與傳統資源分配方法相比，網絡性能的顯著改善。這些發現驗證了行為預測和智能資源管理在革新 VSNs 中的潛力。最後，本書提供了結論和有前景的方向，希望能從不同的角度激發未來在車輛網絡領域的研究成果。本書是對於希望推進車輛網絡領域並利用行為預測創造高效、安全和智能 VSNs 的研究人員、工程師和業界專業人士的寶貴資源。
作者簡介
Haixia Zhang (Senior Member, IEEE) received the B.E. degree from the Department of Communication and Information Engineering, Guilin University of Electronic Technology, Guilin, China, in 2001, and the M.Eng. and Ph.D. degrees in communication and information systems from the School of Information Science and Engineering, Shandong University, Jinan, China, in 2004 and 2008, respectively. From 2006 to 2008, she was with the Institute for Circuit and Signal Processing, Munich University of Technology, Munich, Germany, as an Academic Assistant. From 2016 to 2017, she was a Visiting Professor with the University of Florida, Gainesville, FL, USA. She is currently a Full Professor with Shandong University, Jinan, China. Dr. Zhang is actively participating in many professional services. She is an editor of the IEEE Transactions on Wireless Communications, IEEE Wireless Communication Letters, and China Communications and serves/served as Symposium Chairs, TPC Members, Session Chairs, and Keynote Speakers of many conferences. Her research interests include wireless communication and networks, vehicular networks, industrial Internet of Things, wireless resource management, and mobile edge computing.
Dongyang Li received the B.E. and M.Eng. degrees in communication engineering from the School of Information Technology, Wuhan University of Technology, Wuhan, China, in 2015 and 2017, respectively, and the Ph.D. degree in information and communication engineering from the School of Information Science and Engineering, Shandong University, Jinan, China, in 2023. He is currently a Lecturer with the College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China. His research interests include mobile edge computing, wireless edge caching, federated learning, and smart communication technologies.
Tong Xue received the B.E. degree from Electronic Engineering College, Heilongjiang University, Harbin, China, in 2017, the M.Eng. degree from the School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China, in 2019, and the Ph.D. degree from the School of Control Science and Engineering, Shandong University, Jinan, China. She is currently a Lecturer with the College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China. Her research interests include radio resource management, mobile edge computing, and vehicle-to-everything communications.
作者簡介(中文翻譯)
Haixia Zhang（IEEE 高級會員）於2001年獲得中國桂林電子科技大學通訊與信息工程系的工學學士學位，並於2004年和2008年分別獲得中國山東大學信息科學與工程學院的工學碩士和博士學位。2006年至2008年間，她在德國慕尼黑工業大學電路與信號處理研究所擔任學術助理。2016年至2017年，她曾擔任美國佛羅里達大學的訪問教授。她目前是中國山東大學的全職教授。張博士積極參與多項專業服務，擔任《IEEE 無線通訊期刊》、《IEEE 無線通訊快報》和《中國通訊》的編輯，並在多個會議中擔任研討會主席、技術程序委員會成員、會議主席和主題演講者。她的研究興趣包括無線通訊與網絡、車聯網、工業物聯網、無線資源管理和移動邊緣計算。
Dongyang Li於2015年和2017年分別獲得中國武漢科技大學信息技術學院的工學學士和碩士學位，並於2023年獲得中國山東大學信息科學與工程學院的信息與通訊工程博士學位。他目前是中國石油大學（華東）海洋與空間信息學院的講師。他的研究興趣包括移動邊緣計算、無線邊緣緩存、聯邦學習和智能通訊技術。
Tong Xue於2017年獲得中國黑龍江大學電子工程學院的工學學士學位，2019年獲得中國哈爾濱工業大學電子與信息工程學院的工學碩士學位，並獲得中國山東大學控制科學與工程學院的博士學位。她目前是中國山東科技大學電子與信息工程學院的講師。她的研究興趣包括無線資源管理、移動邊緣計算和車對一切通訊。
