{"product_id":"content-delivery-networks-using-artificial-intelligence-and-internet-of-things-revolutionizing-content-delivery-hardback-9781394347155","title":"Content Delivery Networks Using Artificial Intelligence and Internet of Things; Revolutionizing Content Delivery (Hardback) 9781394347155","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eContent Delivery Networks Using Artificial Intelligence and Internet of Things\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eRevolutionizing Content Delivery\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eTanusree Chatterjee (Edited by), Chatterjee (Author), Rajib Banerjee (Edited by), Souvik Ganguli (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394347155, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 10 June 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e400 pages\u003cbr\u003e22.9 x 15.2 x 2.5 cm, 0.671 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eStay ahead of the curve by learning how to transform static CDNs into intelligent, AI-powered networks that deliver content faster, more securely, and with pinpoint personalization.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eContent Delivery Networks (CDNs) are widely used across the internet today. They play a crucial role in delivering content faster and more reliably to users around the globe. However, CDNs today face several challenges, including static caching strategies, inefficient and suboptimal traffic routing, limited content personalization, and security threats that AI, machine learning, and Internet of Things can address collaboratively. This book provides a comprehensive overview of content delivery networks and how technologies like IoT, AI, and machine learning can be integrated with CDN to enhance content delivery and communication. It focuses on the backbone and architecture of CDN systems and the role of AI, IoT, and other tools for predictive behavioral analysis. Through expert insights and real-world case studies, this book provides a platform to explore the future of innovations to improve the way we distribute and consume content.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction to AIIoT and CDNs 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePriyanka Pramod Pawar, R. Kannan, R. Anand, Deepak Kumar, K. Arunprasath, A. Bhuvanesh and Tanusree Chatterjee\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 AIoT Explained: The Convergence of AI and IoT 2\u003cbr\u003e1.2 The Interrelationship between AIoT and CDN 5\u003cbr\u003e1.3 Advantages of AIoT in Content Distribution 7\u003cbr\u003e1.4 Major Challenges in the Integration of AIoT and CDN 10\u003cbr\u003e1.5 Optimizing Latency and Network Efficiency 13\u003cbr\u003e1.6 Real-Time Data Processing and Analytics 16\u003cbr\u003e1.7 Scalability and Adaptability of AIoT-CDN Systems 18\u003cbr\u003e1.8 AIoT and CDN Networks Security and Privacy 20\u003cbr\u003e1.9 Future Trends in AIoT and CDN Technologies 22\u003cbr\u003e1.10 Conclusion: Toward Smarter, Faster Digital Infrastructures 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Predictive Caching Strategies Using Machine Learning for Seamless Content Access 31\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJagendra Singh, Monika Dandotiya, Shivani Agarwal, Kannan Srinivasan, Rahul Jadon and Guman Singh Chauhan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 32\u003cbr\u003e2.2 Related Work 33\u003cbr\u003e2.3 Methodology 35\u003cbr\u003e2.4 Result and Discussion 43\u003cbr\u003e2.5 Conclusion 49\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Artificial Intelligence in Context Delivery 53\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVaishnavi and Navneet Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 54\u003cbr\u003e3.2 Benefits of Machine Learning for Caching 58\u003cbr\u003e3.3 Understanding Advanced CDN Architecture 59\u003cbr\u003e3.4 Mechanisms Behind Context-Aware AI Systems 61\u003cbr\u003e3.5 Applications of AI in Context Delivery 61\u003cbr\u003e3.6 Benefits of AI in Context Delivery 62\u003cbr\u003e3.7 Challenges in Context Delivery (CD) 63\u003cbr\u003e3.8 Summary and Discussion 63\u003cbr\u003e3.9 Conclusion 66\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Monetizing Cyberliterature through AI-Enhanced Networks in English Education System 69\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMuthmainnah Muthmainnah, Luis Cardoso, Ahmad Al Yakin, Khristianto Khristianto, Widya Nirmalawati and Titik Wahyuningsih\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 70\u003cbr\u003e4.2 Literature Review 72\u003cbr\u003e4.3 Methodology 80\u003cbr\u003e4.4 Findings and Discussions 83\u003cbr\u003e4.5 Discussion 90\u003cbr\u003e4.6 Conclusions 94\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Understanding AI with IoT, Real-Time Applications in Image Dehazing 101\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMalladi Sunder Rao and Dilip Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 101\u003cbr\u003e5.2 The Integration of AI and IoT 103\u003cbr\u003e5.3 Introduction to Image Dehazing 105\u003cbr\u003e5.4 The Dehazing Process Model 108\u003cbr\u003e5.5 General Process of Dehazing or Haze Removal Model 109\u003cbr\u003e5.6 Datasets for the Dehazing Process 112\u003cbr\u003e5.7 Network Section 112\u003cbr\u003e5.8 Applications of Image Dehazing in AI IoT 113\u003cbr\u003e5.9 Case Studies 114\u003cbr\u003e5.10 Features of the PYNQ-Z2 Board 115\u003cbr\u003e5.11 Advantages of Integrating AI with IoT 116\u003cbr\u003e5.12 Application of the PYNQ-Z2 Board 117\u003cbr\u003e5.13 Loss Function 118\u003cbr\u003e5.14 Conclusion 120\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Data-Driven Optimization of Content Distribution: Leveraging AI for Personalization and Scalability 123\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJagendra Singh, Namita Nath, Lucky Gupta, Swapna Narla, Sreekar Peddi and Dharma Teja Valivarthi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 124\u003cbr\u003e6.2 Problem Statement 125viii Contents\u003cbr\u003e6.3 Literature Review 126\u003cbr\u003e6.4 Methodology 128\u003cbr\u003e6.5 Result and Discussion 136\u003cbr\u003e6.6 Conclusion 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Generative AI and Content Delivery Networks: Revolutionizing Content Delivery and Learning Management with AI-Driven Innovation 147\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKamini, Sanjay Kumar Sonker, Ashish Kumar, Manoj Kumar, Prem Prakash Agrawal and Ramendra Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 148\u003cbr\u003e7.2 Problem Statement 149\u003cbr\u003e7.3 Literature Review 150\u003cbr\u003e7.4 Methodology 151\u003cbr\u003e7.5 Result and Discussion 161\u003cbr\u003e7.6 Conclusion 168\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Adaptive Video Streaming and Content Personalization Using Generative Models 171\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAfreen Fatima Mohammed, Vijayalakshmi Chintamaneni, Jagendra Singh, Kalyan Gattupalli, Venkata Surya Bhavana Harish Gollavilli and Surendar Rama Sitaraman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 172\u003cbr\u003e8.2 Problem Statement 173\u003cbr\u003e8.3 Literature Review 174\u003cbr\u003e8.4 Methodology 175\u003cbr\u003e8.5 Result and Discussion 184\u003cbr\u003e8.6 Conclusion 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Data Analytics and Real-Time Decision Making in Water Quality Prediction 193\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKajal Kumari, Sudip Kumar Sahana and Debjani Mustafi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 194\u003cbr\u003e9.2 Related Work 195\u003cbr\u003e9.3 Dataset Description 196\u003cbr\u003e9.4 Methodology of Proposed Model 198\u003cbr\u003e9.5 Experimental Setup 203\u003cbr\u003e9.6 Results and Discussion 204\u003cbr\u003e9.7 Conclusion 208\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Enhancing E-Commerce Security: A Framework of Integrated Vulnerability Assessment and Data Privacy Protection 213\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAftab Ara\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 214\u003cbr\u003e10.2 Literature Review 214\u003cbr\u003e10.3 Findings 220\u003cbr\u003e10.4 Conceptual Framework for E-Commerce Security 222x Contents\u003cbr\u003e10.5 Discussions 224\u003cbr\u003e10.6 Implications 225\u003cbr\u003e10.7 Conclusion 226\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Enhancing Content Delivery Networks with Generative AI: Strategies, Applications, and Future Directions 231\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSubhranil Das, Rashmi Kumari and Raghwendra Kishore Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 232\u003cbr\u003e11.2 Fundamentals of Generative AI Techniques for CDNs 234\u003cbr\u003e11.3 Intelligent Caching Strategies for CDNs with Generative AI 244\u003cbr\u003e11.4 Ethical and Security Concerns in Generative AI for CDNs 250\u003cbr\u003e11.5 Conclusion and Future Scope 253\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 An IoT-Enabled Indoor Tracking Base System (IITBS) for Human Activities Identification 259\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePulakesh Roy, Sushmita Chaudhari, Surabhi Solanki, Rajib Banerjee and Arindam Biswas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 260\u003cbr\u003e12.2 Literature Review 261\u003cbr\u003e12.3 Structure Design 265\u003cbr\u003e12.4 Outcomes and Performance 270\u003cbr\u003e12.5 Conclusion 275\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 AI and IoT-Driven Machine Learning in CDNs: Advancing Diagnostic Precision in Breast Cancer Screening 279\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShubhranshu Gorai, Saibal Majumder, Ritik Maity, Mehuli Lahiri, Sovan Bhattacharya, Dola Sinha, Suchandra Banerjee and Chandan Bandyopadhyay\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 280\u003cbr\u003e13.2 Dataset Description 283\u003cbr\u003e13.3 Methodology 286\u003cbr\u003e13.4 Machine Learning Models 288\u003cbr\u003e13.5 Performance Metrics 289\u003cbr\u003e13.6 Results and Discussions 291\u003cbr\u003e13.7 Conclusion 303\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Rethinking Cybersocialization in Posthumanist: An Evolution of University Curriculum Based on AIIoT Automation 307\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAhmad Al Yakin, Ali Said Al Matari, Abd. Ghofur, Muthmainnah Muthmainnah, Ahmed J. Obaid and Souvik Ganguli\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 308\u003cbr\u003e14.2 Literature Review 310\u003cbr\u003e14.3 Methodology 320\u003cbr\u003e14.4 Findings and Discussion 321\u003cbr\u003e14.5 Discussion 328\u003cbr\u003e14.6 Conclusions 333\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Future Trends and Innovation Education 7.0 by Adopting AIIoT Networks 341\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBesse Darmawati, Ade Mulyanah, Adri Adri, Ratnawati Ratnawati, Resti Nurfaidah, Muthmainnah Muthmainnah and Souvik Ganguli\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 342\u003cbr\u003e15.2 Literature Review 344\u003cbr\u003e15.3 Research Methodology 354\u003cbr\u003e15.4 Findings and Discussion 356\u003cbr\u003e15.5 Conclusion 365\u003c\/p\u003e \u003cp\u003eReferences 366\u003cbr\u003eIndex 375\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433819468056,"sku":"9781394347155","price":154.67,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394347155.jpg?v=1784853956","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/content-delivery-networks-using-artificial-intelligence-and-internet-of-things-revolutionizing-content-delivery-hardback-9781394347155","provider":"Freshly Printed Books","version":"1.0","type":"link"}