Eco-Networking for Iot: Designing Energy-Efficient Models to Enhance Network Performance
暫譯: 物聯網的生態網路：設計節能模型以提升網路效能
Sharma, Divya, Pandey, Bishwajeet
相關主題
商品描述
Learn to design IoT models focused on reducing energy consumption and increasing network performance. This book offers a complete approach towards construction of energy-efficient models on IoT for network optimization. It describes fundamental principles of IoT and networking to advanced energy-saving and data-rate-increasing techniques. The book provides strategies for minimizing energy consumption in IoT, allowing for highest possible reliability, scale, and performance from IoT networks.
We will start with basics of network protocols, data transmission, and energy consumption in IoT followed by architecture models, including low-power designs and adaptive systems. We will discuss low-power communication protocols, efficient data processing techniques, as well as network configurations and layouts for efficient IoT performance. Using AI to adaptively manage energy use will also be discussed. The book uses on practical examples, case studies, and code samples to help you learn.
On completion, you will have knowledge of designing an energy-efficient IoT, low-power network protocols, data processing methods for IoT, recent technologies for optimizing the energy consumption of an IoT use case in static and dynamic environment.
You Will
- Learn to implement low-power networking protocols in IoT applications
- Find out how to utilize energy-efficient hardware and software for data processing
- Explore advanced techniques, such as AI, for dynamic energy management
- Build resilient, energy-conscious IoT networks optimized for diverse application scenarios
Who Is This Book For
This book is for intermediate-level readers in IoT, network engineering, and environmental tech interested in specializing in green tech and power-efficient applications.
商品描述(中文翻譯)
學習設計專注於降低能源消耗和提高網路性能的物聯網（IoT）模型。本書提供了一個完整的方法，旨在構建能效高的物聯網模型以進行網路優化。它描述了物聯網和網路的基本原則，以及先進的節能和提高數據傳輸速率的技術。本書提供了在物聯網中最小化能源消耗的策略，從而實現物聯網網路的最高可靠性、擴展性和性能。
我們將從物聯網中的網路協議、數據傳輸和能源消耗的基本概念開始，接著介紹架構模型，包括低功耗設計和自適應系統。我們將討論低功耗通信協議、高效的數據處理技術，以及為了提高物聯網性能而設計的網路配置和佈局。還將討論使用人工智慧（AI）自適應管理能源使用。本書使用實際範例、案例研究和程式碼範本來幫助您學習。
完成後，您將具備設計能效高的物聯網、低功耗網路協議、物聯網的數據處理方法，以及在靜態和動態環境中優化物聯網使用案例能源消耗的最新技術的知識。
您將學到：
- 在物聯網應用中實現低功耗網路協議
- 瞭解如何利用能效高的硬體和軟體進行數據處理
- 探索如人工智慧（AI）等先進技術以進行動態能源管理
- 構建針對多樣應用場景優化的韌性、注重能源的物聯網網路
本書適合中級讀者，特別是對物聯網、網路工程和環境科技感興趣，並希望專注於綠色科技和節能應用的讀者。
作者簡介
Dr. Divya Sharma is Assistant Professor at Department of Computer Applications, GL Bajaj College of Technology and Management.
Dr. Sharma specializes in optimizing IoT networks for long-term stability and high levels of performance for communication among multiple connected devices. IEFUF solves some of the most challenging challenges to improve the efficiency and reliability of modern IoT networks with her innovative work.
Aside from her academic duties, Dr. Sharma partners with industry professionals to translate theoretical research into practical solutions and advances IoT applications in the real world. Her publications have appeared in top journals, and she has presented her research at national and international conferences.
Dr. Sharma is keen to contribute to IoT and play a part in positively impacting the future of technology.
Dr. Bishwajeet Kumar Pandey is a Professor at the Department of Intelligent System and Cyber Security, Astana IT University Kazakhstan. He is a senior member of IEEE, USA since 2019. He is also a visiting professor at Eurasian National University, Astana, Kazakhstan (QS World Rank 355) and UCSI University, Kuala Lumpur, Malaysia (QS World Rank 300). He is a research Fellow at the University of Sultan Zainul Abdin (UniSZA), Malaysia.
With over 15 years of experience, he has worked as a Research Consultant and Associate Visiting Professor. He has authored over 200 papers and published ten books. His interests include Green Computing, High-Performance Computing, Cyber-Physical Systems, Machine Learning, and Cyber Security.
作者簡介(中文翻譯)
迪維亞·夏瑪博士是GL Bajaj科技與管理學院計算機應用系的助理教授。
夏瑪博士專注於優化物聯網（IoT）網絡，以實現長期穩定性和多個連接設備之間的高效能通信。她的創新工作IEFUF解決了改善現代物聯網網絡效率和可靠性的一些最具挑戰性的問題。
除了學術職責外，夏瑪博士還與業界專業人士合作，將理論研究轉化為實際解決方案，推進物聯網應用於現實世界。她的出版物已發表在頂尖期刊上，並在國內外會議上展示她的研究成果。
夏瑪博士熱衷於為物聯網做出貢獻，並希望在技術未來的正面影響中發揮作用。
比斯瓦傑特·庫馬爾·潘迪博士是哈薩克斯坦阿斯塔納IT大學智能系統與網絡安全系的教授。自2019年以來，他是美國IEEE的資深會員。他還是哈薩克斯坦阿斯塔納的歐亞國立大學（QS世界排名355）和馬來西亞吉隆坡的UCSI大學（QS世界排名300）的客座教授。他是馬來西亞蘇丹扎伊努阿比丁大學（UniSZA）的研究員。
擁有超過15年的經驗，他曾擔任研究顧問和副客座教授。他已撰寫超過200篇論文並出版十本書籍。他的研究興趣包括綠色計算、高效能計算、網絡物理系統、機器學習和網絡安全。
