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Wireless Sensor Network - Smart Monitoring and Autonomous Data Collection for NextGen Robotics - cover

Wireless Sensor Network - Smart Monitoring and Autonomous Data Collection for NextGen Robotics

Fouad Sabry

Editorial: One Billion Knowledgeable

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Sinopsis

In today's rapidly evolving technological landscape, the importance of wireless sensor networks (WSNs) cannot be overstated. These networks form the backbone of modern communication systems, enabling efficient data transfer in various fields such as robotics, healthcare, smart cities, and more. This book, Wireless Sensor Network, is an essential read for professionals, students, and enthusiasts alike, offering a comprehensive guide to the concepts and applications of WSNs in the context of Robotics Science. Whether you're just beginning to explore this field or are looking to expand your expertise, this book is designed to provide invaluable insights, practical knowledge, and cuttingedge research
 
Wireless sensor network-Introduces the fundamental principles of WSNs, covering their architecture, applications, and significance in modern robotics systems
 
Zigbee-Explores Zigbee technology, its protocols, and how it facilitates lowpower, lowcost communication for WSNs, critical in robotics and automation
 
Wireless mesh network-Discusses the concept of mesh networking, which enhances the robustness and scalability of WSNs in large robotic systems
 
Energy harvesting-Focuses on sustainable energy solutions for WSNs, highlighting how energy harvesting technologies support autonomous robotic systems
 
Linear network coding-Delves into techniques for optimizing data transmission in WSNs, improving reliability and efficiency in robotic communication
 
Wireless ad hoc network-Covers the fundamentals of ad hoc networks, emphasizing their application in robotics where network setup is dynamic and flexible
 
Lowenergy adaptive clustering hierarchy-Examines clustering strategies to minimize energy consumption in WSNs, critical for longlasting robotic operations
 
Sensor node-Provides an indepth look at sensor node components, their role in gathering data, and their integration into larger robotic networks
 
Internet of things-Explores how the Internet of Things (IoT) and WSNs intersect, enhancing smart robotic systems through interconnected devices
 
Energy neutral design-Discusses the concept of energyneutral design in WSNs, focusing on sustainable and efficient energy use in robotics
 
Cyber–physical system-Investigates the integration of physical systems with cyber technologies, showing how WSNs play a role in enhancing robotic capabilities
 
Virtual sensor network-Introduces the concept of virtual sensor networks, leveraging data fusion techniques to improve the accuracy of robotic systems
 
Cognitive network-Explores cognitive networks in WSNs, where the network can adapt and optimize communication based on environmental conditions
 
OCARI-Discusses the OCARI framework for optimizing WSN operations, enhancing the efficiency and robustness of robotic systems
 
Body area network-Examines the application of WSNs in body area networks (BANs), with a focus on healthmonitoring robotics
 
Mobile wireless sensor network-Covers mobile WSNs, exploring how robotic systems can adapt to mobile environments for realtime data processing
 
Wireless powerline sensor-Focuses on the integration of powerline communication in WSNs, crucial for powering robotic systems in remote areas
 
Event detection for WSN-Highlights techniques for detecting events in WSNs, essential for autonomous robotic operations in dynamic environments
 
Time Slotted Channel Hopping-Introduces timeslotted channel hopping for secure and efficient communication in WSNs used in robotics
 
Subsea Internet of Things-Explores subsea WSNs, where underwater robotics rely on these networks for monitoring and data collection in deepsea environments
 
Aerial base station-Discusses the role of aerial base stations in enhancing WSNs, particularly for robotics deployed in vast, hardtoreach areas
Disponible desde: 29/12/2024.
Longitud de impresión: 196 páginas.

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