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Industrial Internet of Things and Advanced Techniques for Sensor Data Aggregation and Fusion
Kanak Kalita (Edited by), Kalita (Author), S. Vishnu Kumar (Edited by), M. Niranjanamurthy (Edited by)
9781394275489, Wiley
Hardback, published 9 March 2026
432 pages
22.9 x 15.2 x 2.6 cm, 0.812 kg
Master the complexity of modern networks with this essential guide, which provides the state-of-the-art AI and machine learning techniques needed to execute seamless sensor data fusion and energy-efficient aggregation across Industrial IoT and smart city environments. The use of artificial intelligence and machine learning techniques for data aggregation and fusion is becoming increasingly important, as these technologies can help extract important features and knowledge from data. Sensor data aggregation and fusion are essential components of IoT and Industrial IoT systems, as they enable the combination of data from multiple sources to provide a more comprehensive view of the system being monitored. This book is a comprehensive guide to the state-of-the-art techniques and methods used for sensor data aggregation and fusion in IoT and Industrial IoT environments, covering the fundamental principles of data aggregation and fusion, as well as the latest advancements and applications in the field. The book takes a practical approach to the subject matter, providing a deeper understanding of the challenges and opportunities associated with sensor data aggregation and fusion in IoT and Industrial IoT environments. It covers topics such as machine learning-based data aggregation, intelligent multi-sensor fusion, data aggregation and fusion in smart cities, and energy-efficient data aggregation and fusion. Written by leading experts in the field, the book will provide a comprehensive overview of the latest advancements in sensor data aggregation and fusion in IoT and Industrial IoT environments.
Preface xvii Part I: Foundations and Frameworks in IoT and Data Aggregation 1 1 Enhancing Privacy and Efficiency in IoT‑Enabled Business Information Analytics and Blockchain‑Based Contingency 3 2 Supporting Authorized Duplicate Check in Hybrid Cloud Architecture Using IoT 17 3 Design and Analysis of Multiband Microstrip Patch Antenna for IoT Applications 31 4 Simulation and Implementation of Advanced Adder and Hybrid Multiplier for FIR Filter 47 5 Comparison of the Design and Implementation of Smartphone Charging Controllers Using Arduino Mega and Raspberry Pi 61 6 Enhancing the Accuracy in Designing an Image with Style Transfer Learning Method Using Visual Geometry Group (VGG16) over InceptionV3 73 Part II: IoT in Smart Cities and Infrastructure 83 7 Efficient Traffic Detection and Localization in 5G Networks Using IoT‑Enhanced Dynamic Ad-Hoc Clusters 85 8 RFID‑Based Smart Parking Management System Using IoT 99 9 IoT‑Based Animal Watch Safety Using Green Technology with Deep Learning Approach 113 10 Detection of Barcode for Automatic Fastai and EDA Considering Big Data for Green Cities 139 11 Number Plate Detection to Automatic Ticket Repeat Offenders in Traffic Violation Using Green Technology 163 12 IoT‑Based Object Detection in Green Cities by Making Use of Data Center Based on YOLOv3 Model 189 13 Facemask Detection for Passengers' Safety Using Green Technology by Fine Tuning on Object Detection Model in IoT 215 Part III: Industrial Applications and Predictive Maintenance 14 Enhancing Error Prediction in Machineries through CNN and Random Forest Models Using IoT with Sensor Data Fusion 243 15 Real‑Time Flight Delay Prediction with Live Data from IoT and Airline Operations Optimization Using the KNN Algorithm 259 16 Flight Delay Analysis Using XGBoost on Industrial Internet of Things and Advanced Techniques for Sensor Data Aggregation and Fusion 277 17 An Analysis of the Traffic Loads in the Servers Using Thermal Images Utilizing Empirical Wavelet Transform with Dyadic Wavelet Transform 287 18 Comparison of Discrete Wavelet Transforms and Stationary Wavelets for the Accurate Diagnosis of Server Issues Using Thermal Images 297 Part IV: Health, Safety, and Security Applications 307 19 Diagnosis of Diseases Using Machine Learning 309 20 Client Attrition Prediction in Multiple Sectors with Customized Machine Learning Models Using IoT 319 21 Blood Transfusion System Using Data Mining Techniques and Grey Relational Analysis (GRA) Using Decision Tree Compared with Naive Bayes 335 22 IoT‑Integrated Detection and Classification of Deepfake Images and Videos Using Custom Deep Learning Models 345 23 Reducing the False Rejection Using Novel Iris Recognition by Comparing with Elastic Bunch Graph Matching for Smartphones 359 24 Intelligent IoT‑Enabled Privacy‑Preserving Course Recommendation System: Leveraging NLP Chatbot and Federated Learning with Federated Linear Regression 371 25 Harnessing YOLO‑Powered Drones for Cloud‑Based Weed Density Mapping Focusing Agri 4.0 385 References 399
P. Kumaresan and R. Ramprashath
Balaji B. and Ram Prashath
R. Ramasamy, Arunachala Perumal C., Bharathi C. Ramachandra, Srikusan A. and Vijayan S.
V. Magesh, T. Solai Mithelesh, S. Ponmaniselvan and P. Praveen Kumar
Yuvaraj D. and N. P. G. Bhavani
Boobathy A. and Rashmita Khilar
Nirmalkumar K. and Ramprashath R.
Anil Kumar C. S., Shailendra Kumar Mishra, Ali Baig Mohammad and Vishnu Kumar. S.
Vineet Saxena, Prashant Dhage, Ghouse Basha M. A., Trupti Patil, Mritunjay Rai and Vishal Sharma
Santosh S. Chowhan, Vivek Veeraiah, Sukhvinder Singh Dari, Sovers Singh Bisht, Rohit Anand, Ritu Shree and M. Niranjanamurthy
Anishkumar Dhablia, Bharti Sharma, Alka Singh, Jayaprakash B., Rajendra P. Pandey and Adapa Gopi
Jayant S. Rohankar, Shaziya Islam, Priyanka Chandani, Aditee Godbole, Neeraj Kumari and Dharmesh Dhabliya
Mohd. Asif Iqbal, Panduranga Rao M. V., Anisha Soni, Priyank Singhal, Ankur Gupta and Sharayu Ikhar
Thishan S. and Senthil Kumar K.
B. Praveen Kumar and R. Ramprashath
Gayathri S., Venkata Veerendra Naveen Guthurthi, Varri Venkata Jyothi, Abirami R. and Priyadharshini S.
Madhan Kumar Reddy and A. Selva Kumar
Madhan Kumar Reddy and A. Selva Kumar
Sujita Godishala, Vakalapudi Sumavi, M. Saravanan and P.S. Maya Gopal
R. Balaji and R. Ramprashath
K. Manimaran and T. Poovizhi
K. Praveen Kumar and R. Ramprashath
Kamalesh S. and V. Nagaraju
Dhivyaprabha G. and Ram Prashath R.
S. Vishnu Kumar, G. Aloy Anuja Mary, B. Sathyasri, Murali Kalipindi and Chivon Choeung
About the Editors 401
Index 403
Subject Areas: Internet guides & online services [UDB]
