Edited by
Abhishek Kumar, Chandigarh University, Mohali - India.
Priya Batta, Amity University Punjab, Mohali - India.
S. Ravi, Pondicherry University, India.
R. Mohan, NIT Tiruchirappalli, India.
ISBN : 9781836690894
Publication Date : September 2026
Hardcover 324 pp
170 USD
Co-publisher
The rapid evolution of embedded technologies has transformed modern automation, intelligent devices and connected infrastructures.
Intelligent Embedded Systems 1 provides a comprehensive introduction to the principles, architectures and real-world applications of intelligent embedded systems across diverse domains. This book explores the integration of artificial intelligence (AI), the Internet of Things (IoT), autonomous navigation, robotics, industrial automation, healthcare and smart manufacturing, highlighting how embedded intelligence enables efficient, reliable and adaptive systems. Through theoretical foundations, practical implementations and application-driven case studies, the book bridges the gap between academic concepts and industrial practice.
Designed for undergraduate and postgraduate students, researchers, engineers and professionals, this book offers valuable insights into emerging technologies, while establishing the foundational knowledge required to develop next-generation intelligent embedded solutions.
1. Topology-Aware Spectral Graph Learning for Unsupervised IoT Device Clustering and Anomaly Detection, M. Shanmugham, A. Kameswaran, M. Prakash, K. Sivaprakash, C. Nandagopal and M. Anitha.
2. Graph Intelligence-Driven Deep Reinforcement Learning Framework for Adaptive Control and Predictive Maintenance of Coupled-Inductor DC–DC Converters in Hybrid Electric Vehicles, Elankurisil S.A. and N. Dhivya Devi.
3. Apache Kafka Streams and Time-Series ARIMA Modeling for IoT-Enabled SME Supply Chain Visibility, Manam Vamsi Krishna, Bobbiti Jyothika Reddy, Bandaru Ruchitha, Adla Jahnavi, B. Pavithra and A. Chathurya.
4. Ensemble XGBoost and LSTM-Based Predictive Analytics for Real-Time Industry 4.0 Decision Support Systems, Narendhar Mulugu, Fariha Naaz, Chakilela Srividhya, B. Anjali, Aduri Smiley and Bommadeni Sanjana Sri.
5. Isolation Forests with Local Outlier Factor and Mahalanobis Distance for Real-Time Fraud Detection, Lahari Mekala, Kammalapally Varsha, Kapuganti Niharika, Karne Namitha, Kuchur Akshara and Mothewar Srija.
6. Optimized Variational Autoencoder–Reinforcement Learning Architectures for Autonomous IoT Resource Allocation and Load Balancing, Iyappan Murugesan, S. Prakash, Maheswaran Thangasamy, Kokilavani Thangaraj, R. Muthukumar and Brindha G.
7. Proximal Gradient Methods and Federated Learning: Distributed Optimization for Edge Computing Environments, Ch. Sandeep Reddy, Mallaiahgari Kamalini, K. Mounika, Lingam Kavyanjali, M. Divya and Gundeboina Sushmitha.
8. Convex Relaxation with ADMM and Second-Order Cone Programming for Renewable Energy Microgrids, D. Vemana Chary, Bodi Tejaswini, Dharavath Sneha, Donda Akshitha, E. Vyshnavi and D. Sanjana.
9. Deep Q-Networks with Prioritized Experience Replay for Autonomous Vehicle Decision-Making, L. Srinivasa Reddy, Neha Kasanagottu, Maloth Sai Vaishnavi, Mosali Ashritha, Kuntala Sreeja and K. Tejaswi.
10. Cold Start Optimization Techniques for Function-as-a-Service Using Lambda@Edge and Container Reuse, S. Spandana, Singirikonda Samhitha, Suguru Sireesha, Ramanolla Ashwitha, Talasila Harshitha and Vaddadhi Thanusha.
11. Adversarial Deep Neural Networks for Intrusion Prevention in Heterogeneous IoT Ecosystems: A Robustness Analysis, Jaikumar R., Ravikumar S., K. Tamilselvi, Iyappan Murugesan, B. Suganthi and Brindha G.
12. Adaptive Threat-Aware Clustering for Enhanced Security in IoT-Enabled Smart Cities: A Machine Learning Enhanced Approach, C. Nandini and Priyadarsini K.
13. Graph Intelligence-Enabled Multi-Layered Framework for Revolutionizing Industrial Cyber-Physical System Security, K. Selvi and Golda Dilip.
14. Intelligent DevOps Monitoring and Automated Incident Response using Anomaly Detection and Self-Healing Pipelines, Amrutha Varshini Mannava, Kakumanu Venkata Sai Keerthi Priyanka, Vegesna Kumar Durga Abhirama Raju, Penumala Lavenia and B. Prameela Rani.
15. Multi-Cloud Load Balancing with Application Performance Monitoring (APM) and Chaos Engineering Practices, Kammara Venkatarangaiah Achari, Oruganti Nikhila, Nangunoori Srija, Nimmanagoti Saraswathi, Mekala Kavya and Sunkari Mamatha.
16. MQTT Protocol Stack Optimization with Edge–Fog–Cloud Hierarchical Architecture and CoAP Lightweight Alternatives for Graph-Based IoT Network Communication, Vijayalakshmi Chintamaneni, Bathini Vignani, Gande Sannihitha, A. Haarika, B. Harshitha and G. Priyanka.
17. 5G Edge Computing with MEC and RAN Slicing for Ultra-Low Latency IoT Applications, B. Vijaya Durga, Sarampelly Ananya, Thadisetty Vaishnavi, V. Chandra Keerthi, Vuppu Shriya and Mamidi Gayathri.
18. IoT-Based ESG Metrics Integration with Edge Computing and Cloud Orchestration: A Sustainable Digital Infrastructure Approach, Narendhar Mulugu, Aramati Poojani Reddy, Adepu Neha, Dodda Meghana, Bazar Priyanshu and Bommena Sri Keerthana.
Abhishek Kumar is a senior IEEE member and Professor at Chandigarh University, Mohali, India. His expertise spans AI, renewable energy and image processing.
Priya Batta is an Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. Her research specializes in AI, blockchain and the IoT.
S. Ravi is a Professor at Pondicherry University, India. His research focuses on multi-biometrics, medical imaging, computer vision and digital image processing.
R. Mohan is an Associate Professor at NIT Tiruchirappalli, India. His research specializes in computer vision, cybersecurity, distributed systems, high performance computing, machine learning, and software engineering.
