Smart World Algorithm Complexities, Paradigms, and Applications within AI, IoT, and Automation

Enables readers to learn how to design and implement algorithms for efficient and secure smart technologies

Algorithms for Smart World Technologies explains the fundamentals of key algorithms and their application in a variety of use cases, covering the factors, assumptions, and models essential for the design of a real-world algorithm and discussing the importance of advanced algorithms in the use of modern world technologies such as AI, IoT, and Blockchain.

Each chapter is written to provide a self-contained treatment of one major topic. Collectively, the chapters have been designed and carefully integrated to be entirely complementary with respect to definitions, terminology, and notation. Chapters are divided into three parts?complexities, paradigms, and recent applications?and at the beginning of each part, a detailed introduction explaining each subject area is provided. The foundational subjects are supported by end-of-chapter exercises and case studies, while the application-focused chapters are supported by projects to give worked experience.

Written by two highly qualified authors in academia, sample topics covered in Algorithms for Smart World Technologies include:

• Complexities, including complex systems and algorithms, measuring efficiency, types of systems, and types of complexities
• Ethics bounds, including algorithms ethics maps, algorithmic traceability, social ethics, environmental ethics, and parameters and thresholds
• Algorithmic paradigms, including the design of an algorithm, the divide and conquer algorithm, backtracking, exhaustive search, solvability, and reducibility
• Intelligent search algorithms, including solution space, uninformed, and informed search algorithms, evolutionary algorithms, and nature-inspired algorithms
• Smart transportation, including scheduling algorithms for vehicular traffic and opportunistic communication for VANET

Written for developers and domain experts who want to explore the opportunities and challenges of designing and developing algorithms and protocols for Smart-world problems, Algorithms for Smart World Technologies is an authoritative resource on the topic that provides both foundational knowledge and guidance on practical applications.

Suman Saha is an Associate Professor in the Department of Computer Science and Engineering at JK Laxmipat University, India. He has spent the last 15 years working in data and information science.

Shailendra Shukla is an Assistant Professor in the Department of Computer Science and Engineering at the Motilal Nehru National Institute of Technology, India. He obtained his PhD in Computer Science from the Indian Institute of Technology Patna.