| 000 -LEADER |
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13950cam a22006617i 4500 |
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14426441 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20260710105251.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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250813t20252025nju o 000 0 eng d |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
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| National bibliography number |
GBC5B5460 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
300625925 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394212569 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394212798 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1394212798 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394212781 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
139421278X |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394212774 |
| Qualifying information |
ePub ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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1394212771 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Cancelled/invalid ISBN |
9781394212569 |
| Qualifying information |
hardcover |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Cancelled/invalid ISBN |
1394212569 |
| Qualifying information |
hardcover |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.1002/9781394212798 |
| Source of number or code |
doi |
| 024 8# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
CIPO000284783 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(OCoLC)1531474535 |
| 035 #9 - SYSTEM CONTROL NUMBER |
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| System control number |
(OCLCCM-CC)1531474535 |
| 037 ## - SOURCE OF ACQUISITION |
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| Stock number |
9781394212569 |
| Source of stock number/acquisition |
O'Reilly Media |
| 037 ## - SOURCE OF ACQUISITION |
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| Stock number |
11259501 |
| Source of stock number/acquisition |
IEEE |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
eng |
| 049 ## - LOCAL HOLDINGS (OCLC) |
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| Holding library |
MAIN |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TK5105.5 |
| Item number |
.S87 2025 |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Sustainable resource management in next-generation computational constrained networks / |
| Statement of responsibility, etc |
edited by Subhasis Dash... [and 4 others]. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Hoboken, NJ : |
| Name of publisher, distributor, etc |
John Wiley & Sons, Inc. ; |
| Place of publication, distribution, etc |
Beverly, MA : |
| Name of publisher, distributor, etc |
Scrivener Publishing LLC, |
| Date of publication, distribution, etc |
2025. |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of publication, distribution, etc |
©2025 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource. |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Industry 5.0 transformation applications |
| 505 0# - CONTENTS |
|---|
| Formatted contents note |
Preface xv -- 1 Enhancing Digital Learning Pedagogy for Lecture Video Recommendation Using Brain Wave Signal 1 Rabi Shaw, Simanjeet Kalia and Sourabh Mohanty -- 1.1 Introduction 2 -- 1.2 Related Work 4 -- 1.2.1 E-Learning, M-Learning, and T-Learning 4 -- 1.2.2 Involvement of Networking Reforms in Education 6 -- 1.2.3 Literature Review for Use of NeuroSky Headset in Education Domain 6 -- 1.3 Background 10 -- 1.4 Dataset 10 -- 1.5 Proposed Method and Result 11 -- 1.5.1 Collaborative Filtering Using Brain Signal-Induced Preferences 11 -- 1.5.1.1 Neurophysiological Experiment 11 -- 1.5.1.2 Deducing Preferences from Brain Signals 14 -- 1.5.2 Proposed Methodology for FlipRec Model 16 -- 1.5.2.1 Module for Data Preparation 16 -- 1.5.2.2 FlipRec: Preferred Recommendation Model 19 -- 1.5.3 Using Brain Signal Technology, a Cognitively Aware Lecture Video Recommendation System in Flipped Learning 20 -- 1.5.3.1 Finding Successful Cognitive States with a Clustering Method 20 -- 1.5.3.2 Feature Derivation for Estimating Attention 22 -- 1.6 Result Analysis 23 -- 1.7 Conclusion and Future Research 25 -- References 25 -- 2 Blockchain-Based Sustainable Supply Chain Management 31 Anuja Ajay, Saji M. S. and Subhasis Dash -- 2.1 Introduction 32 -- 2.1.1 Significance of Blockchain for SCM 34 -- 2.1.2 Introduction to Blockchain Interoperability 35 -- 2.2 Blockchain for Supply Chain Management 35 -- 2.2.1 Characteristics and Requirements of Blockchain-Based Supply Chain 37 -- 2.2.1.1 Characteristics of Supply Chain 37 -- 2.2.1.2 Requirements of Supply Chain 40 -- 2.2.2 Blockchain-Based Data Sharing for Supply Chain 41 -- 2.2.3 Access Control and Trust Management in Blockchain- Based SCM 43 -- 2.2.3.1 Access Control Mechanisms in SCM 43 -- 2.2.3.2 Trust Management in Supply Chain 44 -- 2.3 Interoperability in Blockchain 45 -- 2.3.1 Overview of Blockchain Interoperability Approaches 45 -- 2.3.1.1 Public Connectors 45 -- 2.3.1.2 Blockchain of Blockchains (BoB) 46 -- 2.3.1.3 Hybrid Connectors 46 -- 2.3.2 Gateways for Interoperability and Manageability 48 -- 2.3.3 Interoperability Approaches 49 -- 2.4 Design Considerations and Open Challenges 50 -- 2.5 Summary 51 -- 2.5.1 Advantages of Blockchain for SSCM 51 -- 2.6 Scope of Future Work Emphasis 52 -- References 53 -- 3 Revolutionizing Aquaculture With the Internet of Things (IoT): An Insightful Learning 59 Arpita Nayak, Atmika Patnaik, Ipseeta Satpathy, Veena Goswami and B.C.M. Patnaik -- 3.1 Introduction 60 -- 3.2 Environmental Monitoring via IoT for Sustainable Aquaculture 63 -- 3.3 The Primacy of IoT in Enhancing Fish Health Monitoring 67 -- 3.4 Delving Into IoT: Improving Agricultural Water Quality Management 70 -- 3.5 Connecting the Dots: Using IoT Fish Behavior Monitoring to Improve Aquaculture Practices 74 -- 3.6 The Worldwide Deployment of IoT in Aquaculture: Advantages and Success Factors 79 -- 3.7 Conclusion 81 -- Acknowledgment 81 -- References 81 -- 4 Energy Consumption Optimization in Wireless Sensor Networks 87 Avik Das, Shatyaki Ghosh and Arindam Basak -- 4.1 Introduction 87 -- 4.1.1 WSN Application and Hardware Characteristics 90 -- 4.2 MAC Layer Approaches 93 -- 4.2.1 IEEE 802.15.4 Standard along with the ZigBee Technology 94 -- 4.2.2 Different Other MAC Approaches 95 -- 4.3 Routing Approaches 98 -- 4.4 Transmission Power Control Approaches 99 -- 4.5 Autonomic Approaches 102 -- 4.6 Application of ZigBee in a WSN 105 -- 4.7 WSN with Cloud Computing 106 -- 4.8 Final Considerations and Future Directions 109 -- References 110 -- 5 Airline Prediction Using Customer Feedback and Rating Using Machine Learning and Deep Learning 115 Ch Sambasiva Rao, Pabbathi Manobhi Ram, Viswanadhapalli Siva and Motakatla Satya Sai Krishna Reddy -- 5.1 Introduction 116 -- 5.1.1 Customer Ratings and Recommendation 116 -- 5.2 Literature Survey 117 -- 5.3 System Design 119 -- 5.4 Methodology 120 -- 5.4.1 Modules 120 -- 5.4.1.1 Data Collection 120 -- 5.4.1.2 Review-Based Airline Prediction 120 -- 5.4.1.3 Rating-Based Airline Prediction 121 -- 5.5 Algorithm Used: Random Forest, Convolutional Neural Network, and AdaBoost 121 -- 5.5.1 Random Forest System 121 -- 5.5.2 Convolutional 1D Neural Network-Based Training 122 -- 5.5.2.1 Sequential Model 122 -- 5.5.2.2 Add 1D Convolutional Layer 123 -- 5.5.2.3 Adding 1D Max Pooling Layer 123 -- 5.5.2.4 Adding Dense Layer 123 -- 5.5.2.5 Neural Network Training 123 -- 5.5.3 AdaBoost Algorithm 124 -- 5.6 Experimental Results and Evaluations 125 -- 5.7 Screenshots 126 -- 5.8 Conclusion 130 -- References 130 -- 6 The Breakthrough of Future Delivery: Delivery Robots 133 Ayushi Gupta -- 6.1 Introduction 133 -- 6.2 Related Work 136 -- 6.3 Evolution of Delivery Robot 138 -- 6.4 Working Principal/Model of Delivery Robots 141 -- 6.5 Benefits of Delivery Robots 143 -- 6.6 Applications of Delivery Robots 149 -- 6.7 Development Projects 153 -- 6.8 Challenging Issues with Delivery Robots 158 -- 6.9 Conclusion and Future Work 165 -- References 166 -- 7 Emergence of Cloud Computing in IoT Applications 169 Priyanshu Sonthalia and Doddi Puneet -- 7.1 Introduction 170 -- 7.1.1 Characteristics of Cloud Computing 170 -- 7.1.2 Types of Cloud Deployment Models 171 -- 7.1.3 Categories of Cloud Computing Architectures 172 -- 7.1.4 Types of Cloud Service Models 173 -- 7.2 Benefits of IoT and Cloud Integration 174 -- 7.2.1 Scalability and Elasticity of Cloud Resources for Managing IoT Data 174 -- 7.2.2 Reduced Infrastructure Costs with Cloud-Based Solutions 174 -- 7.2.3 Improved Accessibility and Availability of IoT Services with Cloud Deployment 175 -- 7.2.4 Enhanced Processing Power and Analytics Capabilities with Cloud Computing 175 -- 7.2.5 Reduced Time to Market and Increased Innovation with Cloud-Based IoT Development 175 -- 7.3 Cloud-Based IoT Architecture 175 -- 7.3.1 Four Layers of Cloud-Based IoT Architecture 175 -- 7.3.2 Role of Gateways in Linking IoT Devices to the Cloud 176 -- 7.3.3 Overview of Cloud-Based IoT Platforms and Services 177 -- 7.3.4 Cloud-Based IoT Standards and Protocols, such as MQTT, CoAP, AMQP, and HTTP 177 -- 7.4 Cloud-Based IoT Applications 180 -- 7.5 Challenges in IoT Cloud Integration 181 -- 7.5.1 Security Risks and Challenges Associated with Cloud-Based IoT Solutions 181 -- 7.5.2 Latency and Bandwidth Constraints of IoT Systems Hosted in the Cloud 181 -- 7.5.3 Interoperability Issues Between Different IoT Devices and Cloud Platforms 182 -- 7.5.4 Legal and Regulatory Challenges Associated with IoT Using Cloud Solutions 182 -- 7.6 Open Issues and Research Directions 182 -- 7.6.1 Future Trends and Developments in Cloud-Based IoT Solutions 182 -- 7.6.2 Opportunities for Research in Cloud-Based IoT Solutions 182 -- 7.6.3 Overview of Emerging Cloud-Based IoT Standards and Protocols 183 -- 7.7 Case Study 1: Smart Home Automation Using Cloud-Based IoT 183 -- 7.8 Case Study 2: Industrial IoT Optimization Using Cloud-Based IoT 184 -- 7.9 Conclusion 185 -- References 186 -- 8 Conceptual Assessment of Sensory Networks and Its Functional Aspects 189 Barat Nikhita, Siddhant Prateek Mahanayak and Kunal Anand -- 8.1 Introduction 189 -- 8.2 Evolution of IoT 191 -- 8.2.1 Phase 1: Early Adopters (Pre-2010) 192 -- 8.2.2 Phase 2: Connectivity and Smart Devices (2010-2015) 193 -- 8.2.3 Phase 3: Big Data and Cloud Computing (2015 to Present) 194 -- 8.2.4 Phase 4: Artificial Intelligence and Edge Computing (Present and Future) 195 -- 8.3 Features of IoT 196 -- 8.4 Architectural Framework of IoT 199 -- 8.4.1 Device Layer 200 -- 8.4.2 Network Layer 201 -- 8.4.3 Platform Layer 202 -- 8.4.4 Application Layer 203 -- 8.5 Components of IoT 204 -- 8.6 Applications of IoT 206 -- 8.7 Case Study 211 -- 8.7.1 Overview of Barcelona Smart City Project 211 -- 8.7.2 Methodology 212 -- 8.8 Conclusion 213 -- References 214 -- 9 System Security Using Artificial Intelligence and Reduction of Data Breach 221 M. Avrit, G. P. |
| 505 0# - CONTENTS |
|---|
| Formatted contents note |
Siranjeevi, Shruti Mishra, Sandeep Kumar Satapathy, Priyanka Mishra, Pradeep Kumar Mallick and Gyoo Soo Chae -- 9.1 Introduction 222 -- 9.2 Related Work 224 -- 9.3 Methodology 224 -- 9.3.1 Implementation of Socket Programming Concept 224 -- 9.3.2 Machine Learning 225 -- 9.3.3 Deep Learning 225 -- 9.3.4 Human Assistance 225 -- 9.4 Proposed Model 225 -- 9.5 Experimental Result/Result Analysis 227 -- 9.6 Conclusion and Future Work 231 -- References 231 -- 10 Mitigating DDoS Attacks: Empowering Network Infrastructure Resilience with AI and ML 233 Teja Pasonri, Saurav Singh, Vedant Shirapure, Sandeep Kumar Satapathy, Sung-Bae Cho, Shruti Mishra and Pradeep Kumar Mallick -- 10.1 Introduction 234 -- 10.1.1 Categories of DDoS Attack 235 -- 10.1.1.1 SYN Flood Attacks 235 -- 10.1.1.2 UDP Flood Attacks 235 -- 10.1.1.3 MSSQL Attacks 235 -- 10.1.1.4 LDAP Attacks 235 -- 10.1.1.5 Portmap Attacks 236 -- 10.1.1.6 NetBIOS Attacks 236 -- 10.1.2 Harnessing Machine Learning for DDoS Threat Detection 236 -- 10.1.3 AI Models for DDoS Threat Detection 236 -- 10.1.4 Beyond Classification: AI for Real-Time Detection and Mi ... |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
The book provides essential insights into cutting-edge networking technologies that not only enhance performance and efficiency but also address critical sustainability challenges in an increasingly connected world. The landscape of networking and computational technologies is rapidly evolving, driven by the increasing demand for efficient and sustainable resource management. The advent of next-generation technologies such as 5G and 6G has marked a significant leap in enabling high-capacity, low-latency communication and massive connectivity. These advancements are crucial for supporting the growing number of connected devices and complex applications they run, particularly in environments with limited processing, memory, and energy capabilities. Sustainable Resource Management in Next-Generation Computational Constrained Networks provides insight into the advancements of recent cutting-edge networking technologies that cater to society's needs more efficiently, meeting the expectations of sustainable resource management in computationally constrained networks. By exploring the practical applications of various next-generation technologies, the book addresses critical challenges such as scalability, interoperability, energy efficiency, and security. This knowledge equips professionals with the tools to enhance network performance, optimize resource management, and develop innovative solutions for sustainable and efficient computational networks, ultimately contributing to the advancement of technology and societal well-being. Readers will find this book: Provides thorough reviews on a wide range of cutting-edge network technologies contributing to resource management in computationally constrained networks; Explores the role of various network technologies for the development of sustainable applications; Details architectural viewpoints of integrating emerging network technologies with real-world applications to manage network resources efficiently; Highlights challenges in integrating the latest network technologies with sustainable real-world applications; Discusses real-world case studies of various network technologies in leveraging sustainable resource management for the fulfillment of different industrial and societal needs. Audience Software engineers, electronic engineers, and policymakers in the networking and security domain. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Description based on online resource; title from digital title page (viewed on August 29, 2025). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer networks |
| General subdivision |
Management. |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh2006000150 |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Réseaux d'ordinateurs |
| General subdivision |
Gestion. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Project Management. |
| Source of heading or term |
bisacsh/2024 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Software Development & Engineering. |
| Source of heading or term |
bisacsh/2024 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
COMPUTERS. |
| Source of heading or term |
bisacsh/2024 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer networks |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Sustainable development |
| Source of heading or term |
fast |
| 655 #0 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dash, Subhasis, |
| Relator term |
editor. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Print version: |
| International Standard Book Number |
1394212569 |
| -- |
9781394212569 |
| Record control number |
(OCoLC)1500828177 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Print version: |
| International Standard Book Number |
9781394212569 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Industry 5.0 transformation applications. |
| Authority record control number |
http://id.loc.gov/authorities/names/no2025082566 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394212798 |
| Link text |
Full text is available at Wiley Online Library. Click here to view. |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
EBOOK |