Swarm Intelligence Optimization: Algorithms and Applications

The book provides an understanding of the technical aspects of swarm intelligence algorithms, techniques and their potential use in IoT-based applications.

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.

Nearly all aspects of resource optimization using the IoT are covered in the 18 chapters of this book including energy management monitoring, data management and mining technologies, healthcare data analytics, and wireless sensor networks. In addition, there are introductory chapters on IoT with swarm intelligence, as well as a fundamental overview of different algorithms and performance optimization for swarm intelligence.

Audience

Researchers and industry engineers in computer science, software engineering, artificial intelligence, Internet of Things.

The book provides an understanding of the technical aspects of swarm intelligence algorithms, techniques and their potential use in IoT-based applications.

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.

Nearly all aspects of resource optimization using the IoT are covered in the 18 chapters of this book including energy management monitoring, data management and mining technologies, healthcare data analytics, and wireless sensor networks. In addition, there are introductory chapters on IoT with swarm intelligence, as well as a fundamental overview of different algorithms and performance optimization for swarm intelligence.

Audience

Researchers and industry engineers in computer science, software engineering, artificial intelligence, Internet of Things.