Intelligent Wireless Sensor Networks and the Internet of Things: Algorithms, Methodologies, and Applications
暫譯: 智慧無線感測網路與物聯網：演算法、方法論與應用

Chander, Bhanu, Nirmala, Anoop Benet, Guravaiah, Koppala

Intelligent Wireless Sensor Networks and the Internet of Things: Algorithms, Methodologies, and Applications
  • 出版商: CRC
  • 出版日期: 2025-12-25
  • 售價: $3,560
  • 貴賓價: 9.5 折 $3,382
  • 語言: 英文
  • 頁數: 348
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 103276497X
  • ISBN-13: 9781032764979
  • 相關分類: 物聯網 IoT、Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The edited book Intelligent Wireless Sensor Networks and Internet of Things: Algorithms, Methodologies and Applications is intended to discuss the progression of recent as well as future generation technologies for WSNs and IoTs applications through Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In general, computing time is obviously increased when the massive data is required from sensor nodes in WSN's. the novel technologies such as 5G and 6G provides enough bandwidth for large data transmissions, however, unbalanced links faces the novel constraints on the geographical topology of the sensor networks. Above and beyond, data transmission congestion and data queue still happen in the WSNs.

This book:

  • Addresses the complete functional framework workflow in WSN and IoT domains using AI, ML, and DL models
  • Explores basic and high-level concepts of WSN security, and routing protocols, thus serving as a manual for those in the research field as the beginners to understand both basic and advanced aspects sensors, IoT with ML & DL applications in real-world related technology
  • Based on the latest technologies such as 5G, 6G and covering the major challenges, issues, and advances of protocols, and applications in wireless system
  • Explores intelligent route discovering, identification of research problems and its implications to the real world
  • Explains concepts of IoT communication protocols, intelligent sensors, statistics and exploratory data analytics, computational intelligence, machine learning, and Deep learning algorithms for betterment of the smarter humanity
  • Explores intelligent data processing, deep learning frameworks, and multi-agent systems in IoT-enabled WSN system
  • This book demonstrates and discovers the objectives, goals, challenges, and related solutions in advanced AI, ML, and DL approaches

This book is for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

商品描述(中文翻譯)

編輯書籍《智慧無線感測器網路與物聯網：演算法、方法論與應用》旨在討論無線感測器網路（WSNs）和物聯網（IoTs）應用中，近期及未來世代技術的進展，透過人工智慧（AI）、機器學習（ML）和深度學習（DL）。一般而言，當需要從感測器節點獲取大量數據時，計算時間顯然會增加。新技術如5G和6G提供了足夠的頻寬以進行大數據傳輸，然而，不平衡的連結面臨感測器網路地理拓撲的限制。此外，數據傳輸擁塞和數據佇列在WSNs中仍然存在。

本書：

- 針對使用AI、ML和DL模型的WSN和IoT領域，闡述完整的功能框架工作流程
- 探索WSN安全性和路由協議的基本及高級概念，作為研究領域初學者理解感測器、物聯網及其在現實世界技術中應用的基本與進階面向的手冊
- 基於最新技術如5G、6G，涵蓋無線系統中協議和應用的主要挑戰、問題及進展
- 探索智能路徑發現、研究問題的識別及其對現實世界的影響
- 解釋物聯網通信協議、智能感測器、統計與探索性數據分析、計算智能、機器學習及深度學習演算法，以促進更智慧的人類
- 探索智能數據處理、深度學習框架及物聯網啟用的WSN系統中的多代理系統
- 本書展示並探索先進AI、ML和DL方法中的目標、挑戰及相關解決方案

本書適合電機工程、電子與通信工程、計算機工程及資訊科技領域的研究生和學術研究人員。

作者簡介

Dr. Bhanu Chander

Assistant Professor, Department of Computer Science and Engineering, Indian Institute of Information Technology (IIIT-K)

Dr. Bhanu Chander, working as Assistant Professor at Indian Institute of Information Technology (IIIT-K), Pala, Kerala, India. Graduated from Acharya Nagarjuna University, A.P, in the year 2013. A post-graduate degree from the Central University of Rajasthan, Rajasthan in 2016. Ph.D. on Machine Learning in Wireless Sensor Networks for sensor data classification from Pondicherry University in 2022. He published 6 articles in peer-reviewed journals, 5 international conferences, and 8 book chapters (Elsevier, Wiley, CRC and Springer). Presently his main interesting areas include Wireless Sensor Networks, IoT and Healthcare, Cryptography, Machine Learning, Deep Learning.

Dr. Anoop B

Postdoctoral Research Fellow, University of Texas Health Science Centre.

Dr. Anoop working as Postdoctoral Research Fellow at Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Centre, US. He received Ph.D. degree on Development of Automated Methods for Retinal Optical Coherence Tomography Image Analysis from National Institute of Technology, Surathkal in 2021. MTech on Signal Processing from National Institute of Technology, Calicut, 2013. He published 6 articles in peer-reviewed journals, and 2 book chapters. Presently his main interesting areas include Medical Image processing, Deep Learning, GANs and Auto-encoders.

Dr. Koppala Guravaiah

Assistant Professor, Department of Computer Science and Engineering, Indian Institute of Information Technology

Dr. Koppala Guravaiah, working as Assistant Professor at Indian Institute of Information Technology (IIIT-K), Pala, Kerala, India. Completed Ph.D. on the topic performance of Routing protocols in Wireless Sensor Networks using River formation dynamics from National Institute of Technology Tiruchirappalli, India. His research interests include the Internet of Things (IoT), Software Defined Networks, Wireless Ad hoc, and Sensor network routing protocols and their applications. He published 5 Journals, 8 conferences, 2 book chapters in the areas mentioned above by his name.

Dr. G. Kumaravelan

Assistant Professor & Head (i/c), Department of Computer Science, School of Engineering & Technology, Pondicherry University

Dr. G. Kumaravelan, working as Assistant professor in the Department of Computer Science and Engineering at Pondicherry University, Karaikal Campus, Pondicherry, India - 609605. He received a Ph.D. degree in Communications and Information Systems from Bharathidasan University in 2008. He has more than 12 years of teaching and research experience, published 20 articles in peer-reviewed journals and international conferences. He is an active reviewer in various international conferences and peer-reviewed journals. His research interests include the internet of things, cloud computing, big data analytics, wireless communications, and networking.

作者簡介(中文翻譯)

**Dr. Bhanu Chander**
*印度資訊科技學院 (IIIT-K) 計算機科學與工程系 助理教授*

Dr. Bhanu Chander 目前在印度喀拉拉邦的印度資訊科技學院 (IIIT-K) 擔任助理教授。他於2013年畢業於安得拉邦的阿查里亞納迦爾朱納大學，並於2016年獲得拉賈斯坦邦中央大學的碩士學位。2022年，他在龐迪榭里大學獲得有關無線感測器網路中機器學習的博士學位，專注於感測數據分類。他在同行評審的期刊上發表了6篇文章，參加了5場國際會議，並撰寫了8章書籍（Elsevier、Wiley、CRC 和 Springer）。目前，他的主要研究興趣包括無線感測器網路、物聯網與健康照護、密碼學、機器學習和深度學習。

**Dr. Anoop B**
*德克薩斯大學健康科學中心 博士後研究員*

Dr. Anoop 目前在美國德克薩斯大學健康科學中心的格倫·比格斯阿茲海默症與神經退行性疾病研究所擔任博士後研究員。他於2021年在蘇拉特卡爾國立技術學院獲得有關視網膜光學相干斷層掃描影像分析自動化方法開發的博士學位，並於2013年在卡利卡特國立技術學院獲得信號處理的碩士學位。他在同行評審的期刊上發表了6篇文章，並撰寫了2章書籍。目前，他的主要研究興趣包括醫學影像處理、深度學習、生成對抗網路 (GANs) 和自編碼器。

**Dr. Koppala Guravaiah**
*印度資訊科技學院 計算機科學與工程系 助理教授*

Dr. Koppala Guravaiah 目前在印度喀拉拉邦的印度資訊科技學院 (IIIT-K) 擔任助理教授。他在印度提魯吉拉帕利國立技術學院完成了有關無線感測器網路中路由協議性能的博士學位，研究主題為河流形成動力學。他的研究興趣包括物聯網 (IoT)、軟體定義網路、無線臨時網路和感測器網路路由協議及其應用。他在上述領域發表了5篇期刊文章、8篇會議論文和2章書籍。

**Dr. G. Kumaravelan**
*龐迪榭里大學 工程與技術學院 計算機科學系 助理教授及負責人 (i/c)*

Dr. G. Kumaravelan 目前在印度龐迪榭里大學卡拉伊卡爾校區的計算機科學與工程系擔任助理教授。他於2008年在巴拉特迪薩大學獲得通訊與資訊系統的博士學位，擁有超過12年的教學和研究經驗，並在同行評審的期刊和國際會議上發表了20篇文章。他是多個國際會議和同行評審期刊的活躍審稿人。他的研究興趣包括物聯網、雲計算、大數據分析、無線通訊和網路。

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