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Informationen zum Autor Abhishek Kumar gained his PhD in computer science from the University of Madras, India in 2019. He is assistant professor at Chitkara University and has more than 80 publications in peer-reviewed international and national journals, books & conferences His research interests include artificial intelligence, image processing, computer vision, data mining and machine learning. Pramod Singh Rathore has a MTech in Computer Science & Engineering from the Government Engineering College Ajmer, Rajasthan Technical University, Kota India, where he is now an assistant professor. He has more than 60 papers, chapters, and a book to his credit and his research interests are in networking cloud and IoT. Vicente García Díaz obtained his PhD in Computer Science in 2011 at the University of Oviedo, Spain where he is now an associate professor in the School of Computer Science. He has published more than 100 publications and his research interests include domain-specific languages, e-learning, decision support systems. Rashmi Agrawal obtained her PhD in Computer Applications in 2016 from Manav Rachna International University Faridabad, India, where she is now a professor in the Department of Computer Applications. Her research area includes data mining and artificial intelligence and she has published more than 65 publications to her credit. Klappentext Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization. Zusammenfassung Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization. Inhaltsverzeichnis Preface xv 1 A Fundamental Overview of Different Algorithms and Performance Optimization for Swarm Intelligence 1 Manju Payal, Abhishek Kumar and Vicente García Díaz 1.1 Introduction 1 1.2 Methodology of SI Framework 3 1.3 Composing With SI 7 1.4 Algorithms of the SI 7 1.5 Conclusion 18 References 18 2 Introduction to IoT With Swarm Intelligence 21 Anant Mishra and Jafar Tahir 2.1 Introduction 21 2.1.1 Literature Overview 22 2.2 Programming 22 2.2.1 Basic Programming 22 2.2.2 Prototyping 22 2.3 Data Generation 23 2.3.1 From Where the Data Comes? 23 2.3.2 Challenges of Excess Data 24 2.3.3 Where We Store Generated Data? 24 2.3.4 Cloud Computing and Fog Computing 25 2.4 Automation 26 2.4.1 What is Automation? 26 2.4.2 How Automation is Being Used? 26 2.5 Security of the Generated Data 30 2.5.1 Why We Need Security in Our Data? 30 2.5.2 Wh...
