
Smart Sensor Networks Using AI for Industry 4.0
Applications and New Opportunities
- 248 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Smart Sensor Networks Using AI for Industry 4.0
Applications and New Opportunities
About this book
Smart Sensor Networks (WSNs) using AI have left a mark on the lives of all by aiding in various sectors, such as manufacturing, education, healthcare, and monitoring of the environment and industries. This book covers recent AI applications and explores aspects of modern sensor technologies and the systems needed to operate them.
The book reviews the fundamental concepts of gathering, processing, and analyzing different AI-based models and methods. It covers recent WSN techniques for the purpose of effective network management on par with the standards laid out by international organizations in related fields and focuses on both core concepts along with major applicational areas.
The book will be used by technical developers, academicians, data sciences, industrial professionals, researchers, and students interested in the latest innovations on problem-oriented processing techniques in sensor networks using IoT and evolutionary computer applications for Industry 4.0.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- About the Editors
- Contributors
- 1 Optimization of Wireless Sensor Networks using Bio-Inspired Algorithm
- 2 An Improved Genetic Algorithm with Haar Lifting for Optimal Sensor Deployment in Target Covers Based Wireless Sensor Networks
- 3 Lifetime Enhancement of Wireless Sensor Network Using Artificial Intelligence Techniques
- 4 Research Issues of Information Security Using Blockchain Technique in Multiple Media WSNs: A Communication Technique Perceptive
- 5 Modified Artificial Fish Swarm Optimization Based Clustering in Wireless Sensor Network
- 6 Survey: Data Prediction Model in Wireless Sensor Networks Using Machine Learning and Optimization Methods
- 7 Strategic Sink Mobility Based on Particle Swarm Optimization in Wireless Sensor Network
- 8 A Study on Outlier Detection Techniques for Wireless Sensor Network with CNN Approach
- 9 NEECH: A Novel Energy-Efficient Cluster Head Selecting Protocol in a Wireless Sensor Network
- 10 An Efficient Model for Toxic Gas Detection and Monitoring Using Cloud and Sensor Network
- 11 Particle Swarm Intelligence-Based Localization Algorithms in Wireless Sensor Networks
- 12 A Review on Defense Strategy Security Mechanism for Sensor Network
- 13 Securing Wireless Multimedia Objects Through Machine Learning Techniques in Wireless Sensor Networks
- 14 Low Power Communication in Wireless Sensor Networks and IoT
- 15 Localization Using Bat Algorithm in Wireless Sensor Network
- Index