商品描述
This book provides a comprehensive examination of Unmanned Aerial Vehicles (UAV) swarm collaboration from a networking perspective. It systematically analyzes key components such as network topology construction, efficient routing algorithms and resource management strategies. The second chapter addresses adaptive clustering and dynamic network planning, enabling UAV swarms to adjust their topologies and maintain robust structures in fluctuating environments. The third chapter introduces intelligent routing algorithms designed to optimize network resilience and performance metrics, including lifetime, packet delivery rate and throughput. Chapter four investigates resource scheduling challenges proposing virtualization-based strategies for the optimal allocation of computational and communication resources. Chapters five through seven discuss the opportunities and challenges posed by emerging network technologies. It includes encompassing semantic communication for enhanced data transfer efficiency, the application of distributed learning techniques (e.g., federated and reinforcement learning) for intelligent UAV swarm networks and deterministic networking approaches that ensure low-latency, reliable control in UAV precision-critical operations. Overall, this book serves as an authoritative reference that integrates state-of-the-art technologies and algorithmic designs to address the multifaceted challenges and opportunities in UAV swarm networks. It's designed for advanced-level students, professors, engineers, and researchers learning and working in the fields of the loT Networks. Industry managers, partitioners and government research agencies working in this field will also find this book a useful reference.
商品描述(中文翻譯)
本書從網路的角度對無人機（UAV）群體協作進行了全面的探討。它系統性地分析了關鍵組件，如網路拓撲構建、高效路由演算法和資源管理策略。
第二章探討了自適應聚類和動態網路規劃，使無人機群體能夠調整其拓撲並在變化的環境中維持穩健的結構。第三章介紹了旨在優化網路韌性和性能指標（包括壽命、封包傳遞率和吞吐量）的智能路由演算法。第四章研究了資源調度挑戰，提出基於虛擬化的策略以最佳化計算和通信資源的分配。第五至第七章討論了新興網路技術所帶來的機遇和挑戰。內容包括增強數據傳輸效率的語義通信、應用分散式學習技術（例如，聯邦學習和強化學習）於智能無人機群體網路，以及確保低延遲、可靠控制的確定性網路方法，這對於無人機在精確操作中的應用至關重要。
總體而言，本書作為一部權威參考資料，整合了最先進的技術和演算法設計，以應對無人機群體網路中的多面向挑戰和機遇。它專為高級學生、教授、工程師和研究人員設計，適合在物聯網網路領域學習和工作的專業人士。此外，從事該領域的行業經理、實務工作者和政府研究機構也會發現本書是一本有用的參考資料。
作者簡介
Haipeng Yao (IET Fellow) is a Professor in Beijing University of Posts and Telecommunications. Haipeng Yao received his Ph.D. in the Department of Telecommunication Engineering at University of Beijing University of Posts and Telecommunications in 2011. His research interests include future network architecture, network artificial intelligence, networking, space-terrestrial integrated network, network resource allocation and dedicated networks. He has published more than 200 papers in prestigious peer-reviewed journals and conferences. He won the IEEE ICC 2022 Best Paper Award, IEEE IWCMC 2019, 2021 Best Paper Award, IEEE ICCC 2020 Best Paper Award, IEEE HotICN 2020 Best Student Paper Award, authorized more than 100 national invention patents. He is a fellow of IET, a senior member of IEEE. Dr. Yao has served as an Associate Editor of IEEE Transactions on Mobile Computing, IEEE Transactions on Sustainable Computing, IEEE Network, IEEE ACCESS, and a Guest Editor of IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY and Chain Communication. He has also served as a member of the technical program committee as well as the Symposium Chair for a number of international conferences, including IEEE IWCMC 2019 Symposium Chair, IEEE TrustCom 2021 Symposium Chair and an ACM TUR-C SIGSAC2020 Publication Chair. Tianle Mai received a Ph.D. degree in the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing. His research interests include unmanned swarm networks, future network architecture, network artificial intelligence, multi-agent system, space-terrestrial integrated network, network resource allocation and dedicated networks. He has published more than 40 papers in prestigious peer-reviewed journals and conferences. He won the IEEE ICC 2022 Best Paper Award, IEEE IWCMC 2021 Best Paper Award, IEEE ICCC 2020 Best Paper Award, IEEE HotICN 2020 Best Student Paper Award.
作者簡介(中文翻譯)
姚海鵬（IET Fellow）是北京郵電大學的教授。姚海鵬於2011年在北京郵電大學的電信工程系獲得博士學位。他的研究興趣包括未來網路架構、網路人工智慧、網路、空天一體化網路、網路資源分配和專用網路。他在知名的同行評審期刊和會議上發表了超過200篇論文。他獲得了IEEE ICC 2022最佳論文獎、IEEE IWCMC 2019及2021最佳論文獎、IEEE ICCC 2020最佳論文獎、IEEE HotICN 2020最佳學生論文獎，並獲得了超過100項國家發明專利的授權。他是IET的院士，也是IEEE的高級會員。姚博士曾擔任IEEE Transactions on Mobile Computing、IEEE Transactions on Sustainable Computing、IEEE Network、IEEE ACCESS的副編輯，以及IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY和Chain Communication的客座編輯。他還擔任過多個國際會議的技術程序委員會成員及研討會主席，包括IEEE IWCMC 2019研討會主席、IEEE TrustCom 2021研討會主席和ACM TUR-C SIGSAC 2020出版主席。
麥天樂在北京郵電大學信息與通信工程學院獲得博士學位。他的研究興趣包括無人機群網路、未來網路架構、網路人工智慧、多代理系統、空天一體化網路、網路資源分配和專用網路。他在知名的同行評審期刊和會議上發表了超過40篇論文。他獲得了IEEE ICC 2022最佳論文獎、IEEE IWCMC 2021最佳論文獎、IEEE ICCC 2020最佳論文獎、IEEE HotICN 2020最佳學生論文獎。
