Sustainable Smart Systems with Edge Computing and IoT

Autorentext

Dr. Shrikaant Kulkarni is an accomplished academic, educator, and researcher with over four decades of experience. He is an Adjunct Professor at the Faculty of Business, Victorian Institute of Technology, Melbourne, Australia, and Lincoln University College, Malaysia. His interdisciplinary research spans engineering and green chemistry, nanotechnology, analytical chemistry, catalysis, chemical engineering materials, management, economics, artificial intelligence, and educational technology. He has published 100+ research papers, edited 75+ books, authored 100+ book chapters, and written four engineering chemistry textbooks. He holds advanced degrees in Chemistry, Economics, Business Management, and Political Science. He has also contributed to international forums, including UNESCO's International Conference on Green Chemistry.

Dr. Harish Garg is an Associate Professor at Thapar Institute of Engineering & Technology, Patiala, India, and a globally recognized researcher in computational intelligence and soft computing. He has been ranked among the World's Top 2% Scientists by Stanford University for five consecutive years (2020-2024), including India Rank #1 and World Rank #163. He has received several prestigious awards, including the International Obada-Prize 2022 and Most Outstanding Researcher Award in Mathematics. Dr. Garg has authored 530+ research papers, including 510+ SCI-indexed publications, with 27,800+ citations and an H-index of 93. His research interests include MCDM, evolutionary algorithms, reliability analysis, expert systems, and decision-support systems.

Prof. Shashi Kant Gupta is a distinguished academic and researcher in the field of Computer Science and Engineering, with a prolific career spanning over a decade. His extensive contributions to academia and industry are marked by his roles in various prestigious institutions and his leadership in innovative research projects. Prof. Gupta's work primarily focuses on AI, Cloud Computing, Big Data Analytics, IoT, and Computational Intelligence with multidisciplinary areas in which he has made significant advancements. Prof. Gupta is currently serving as a Post-Doctoral Fellow and Researcher at Eudoxia Research University, USA, where he is involved in cutting-edge research in Computer Science and Engineering.

Dr. Parikshit Mahalle is a Senior Member of IEEE and Professor, Dean-Research and Development at Vishwakarma Institute of Technology, Pune, India. With 25 years of teaching and research experience, he holds a PhD from Aalborg University, Denmark, and completed postdoctoral research at CMI, Copenhagen. His research interests include machine learning, data science, algorithms, IoT, identity management, and security. He has 52 patents, 400+ research publications, 4,000+ Google Scholar citations, and an H-index of 28. He has authored/edited 71 books with leading publishers including Springer, CRC Press, and Cambridge University Press. He has supervised seven PhDs and received several national and international research awards.

Inhalt

1. Introduction to Edge Computing and IoT for Sustainability. 2. Architectures and Frameworks for Edge-IoT Sustainability. 3. Energy-Efficient Edge Computing Models. 4. Smart Cities and Intelligent Urban Infrastructure. 5. Edge Computing in Renewable Energy Systems. 6. IoT-Based Environmental Monitoring and Climate Change Mitigation. 7. Edge Computing for Industry 4.0 and Sustainable Manufacturing Using Retrieval-Augmented Generation. 8. Precision Agriculture and Smart Farming with Edge AI. 9. Supply Chain Optimization and Green Logistics. 10. Security and Privacy Challenges in Edge-IoT Systems. 11. Ethical and Regulatory Aspects of Sustainable Edge-IoT Applications. 12. 5G and Next-Generation Networks for Sustainable Edge-IoT. 13. Federated Learning and AI at the Edge for Sustainability. 14. Biodegradable IoT Sensors and Sustainable Hardware Innovations using Deep Learning Architectures. 15. Case Studies, Innovations, and Roadmap for Future Edge-IoT Sustainability.