Computational Intelligence in Wired and Wireless Networks
暫譯: 有線與無線網路中的計算智慧
Gambhir, Ankit, Jain, Neha, Aggarwal, Gaurav
- 出版商: CRC
- 出版日期: 2026-11-25
- 售價: $6,040
- 貴賓價: 9.5 折 $5,738
- 語言: 英文
- 頁數: 226
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032931523
- ISBN-13: 9781032931524
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相關分類:
Computer-networks、5G、Machine Learning
尚未上市，無法訂購
相關主題
商品描述
The book examines how computational intelligence can address the complex challenges and opportunities that arise in both wired and wireless networks. It discusses topics including fault tolerance and self-healing mechanisms, edge and fog computing, machine learning in wireless networks, quality of experience, and integration of emerging technologies.
This book:
- Introduces theoretical concepts and demonstrates how computational intelligence techniques can be applied to solve real-world problems in network optimization, security, quality of experience, and resource allocation.
- Discusses emerging technologies such as 5G and beyond, edge computing, and machine learning in the context of wired and wireless networks.
- Presents the integration of machine learning concepts, including deep learning and reinforcement learning, in the context of wireless networks.
- Highlights the use of computational intelligence techniques in enhancing network optimization by providing adaptive, self-learning, and efficient solutions.
- Covers design, management, and optimization of networks using machine learning, deep learning, and reinforcement learning.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, telecommunications, and information technology.
商品描述(中文翻譯)
本書探討計算智能（computational intelligence）如何因應有線與無線網路中所面臨的複雜挑戰與機會。內容涵蓋容錯與自我修復機制、邊緣運算與霧運算、無線網路中的機器學習、體驗品質（quality of experience），以及新興技術的整合。
本書：
• 介紹理論概念，並示範如何應用計算智能技術，解決網路最佳化、安全性、體驗品質與資源配置等真實世界問題。
• 探討 5G 及後續技術、邊緣運算，以及機器學習等新興技術在有線與無線網路情境中的應用。
• 說明如何將包括深度學習與強化學習在內的機器學習概念，整合應用於無線網路。
• 強調運用計算智能技術，透過具備適應性、自我學習能力且高效率的解決方案，提升網路最佳化效能。
• 涵蓋運用機器學習、深度學習與強化學習進行網路的設計、管理與最佳化。
本書主要寫給電機工程、電子與通訊工程、資訊工程、電信及資訊科技領域的高年級大學生、研究生與學術研究人員。
作者簡介
Ankit Gambhir is serving as Dean at Delhi Technical Campus, Greater Noida, affiliated with Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi, India. He holds a PhD from GGSIPU, New Delhi, and an MTech (Gold Medallist) in Communication Engineering along with a BTech in Electronics and Communication Engineering. His research interests include optimization and computational intelligence techniques applied to wireless sensor networks, information security, and nature-inspired optimization algorithms. Dr Gambhir has published several research papers in international journals indexed in Web of Science and Scopus and has presented his work at national and international conferences.
Neha Jain is an Associate Professor at IILM University, Greater Noida, India. She holds a PhD from GGSIPU, New Delhi, an MTech degree from Indira Gandhi Institute of Technology, Delhi, and a BTech degree from the University of Rajasthan. With more than 14 years of teaching experience, her research interests include computer networks, wireless sensor networks, cloud computing, artificial intelligence, and the Internet of Things. She has published patents and research articles in SCI-indexed journals and has contributed to national and international conferences as an author, reviewer, and session chair. Dr Jain has also served as an editor for journals and conference proceedings and is actively involved in academic capacity-building initiatives, including faculty development programmes and workshops. She is a Mentor of Change with the Atal Innovation Mission (AIM), NITI Aayog, Government of India.
Gaurav Aggarwal is an Assistant Professor in the Department of Information Technology and Engineering at Amity University, Tashkent, Uzbekistan. He received his BTech degree in Instrumentation from Kurukshetra University, India, in 2006, followed by an MTech degree in Computer Science and Engineering from Kurukshetra University in 2008. He completed his PhD in 2019 from The NorthCap University, Gurugram, India, with a focus on speech signal processing and machine learning. His research interests include signal processing, machine learning, and cognitive sciences. Dr Aggarwal has published over 30 research papers in SCI- and Scopus-indexed journals and conferences and has more than 14 years of experience in teaching and research.
作者簡介(中文翻譯)
Ankit Gambhir 現任職於印度新德里 Guru Gobind Singh Indraprastha University（GGSIPU）附設的 Greater Noida Delhi Technical Campus，擔任院長。他取得 GGSIPU（印度新德里）博士學位，並持有 Communication Engineering 碩士學位（MTech，金牌得主）以及 Electronics and Communication Engineering 學士學位（BTech）。他的研究興趣包括應用於無線感測網路、資訊安全與仿生最佳化演算法的最佳化與計算智慧技術。Gambhir 博士已在 Web of Science 與 Scopus 收錄的國際期刊上發表多篇研究論文，並曾於國內外研討會發表研究成果。
Neha Jain 是印度 Greater Noida IILM University 的副教授。她取得 GGSIPU（印度新德里）博士學位、Indira Gandhi Institute of Technology（印度德里）MTech 學位，以及 University of Rajasthan 的 BTech 學位。她擁有超過 14 年的教學經驗，研究興趣包括電腦網路、無線感測網路、雲端運算、人工智慧與物聯網。她曾在 SCI 收錄期刊發表專利與研究文章，並以作者、審稿人及議程主席身分參與國內外研討會。Jain 博士也曾擔任期刊與研討會論文集的編輯，並積極參與學術能力建構計畫，包括教師發展計畫與工作坊。她是印度政府 NITI Aayog 旗下 Atal Innovation Mission（AIM）的 Mentor of Change。
Gaurav Aggarwal 是烏茲別克斯坦 Tashkent Amity University 資訊技術與工程系的助理教授。他於 2006 年取得印度 Kurukshetra University 的儀器工程（Instrumentation）BTech 學位，並於 2008 年取得該校電腦科學與工程（Computer Science and Engineering）MTech 學位。2019 年，他於印度 Gurugram 的 The NorthCap University 完成博士學位，研究重點為語音訊號處理與機器學習。他的研究興趣包括訊號處理、機器學習與認知科學。Aggarwal 博士已在 SCI 與 Scopus 收錄的期刊及研討會發表 30 多篇研究論文，並擁有超過 14 年的教學與研究經驗。
