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Description
The incredible growth of hybrid wireless networks and sensors-based communication technologies has led to research in both academia and industry for intelligent, efficient, and robust technologies to satisfy the requirements of future users. This new book, Hybrid Optical Wireless Networks and Sensor Technologies, covers the tools, techniques, and trends in hybrid optical wireless networks and sensor technologies that can be applied in various domains.
Addressing recent trends and opportunities in wireless networks, the chapters in the book cover the categorization of various hybrid optical wireless networks and sensor networks, algorithm optimization for intelligent wireless and mobile networks, optic-based wireless networks, bio-inspired algorithms and methods for wireless networks and sensor networks, and more.
The diverse topics include deep learning in mobile device sensors, optimized wireless propagation models, underwater communication through hybrid optical wireless networks, sensor technology for advanced agriculture, sensors as attack and defense mechanisms for vehicles, wireless underground sensor networks for smart cities, IoT-based biosensors in smart healthcare applications, and more.
Key highlights:
With chapters meticulously selected and reviewed by knowledgeable experts, this volume will be helpful for future research in this field with a focus on real-world problems. The scientific and technical information found here will be valuable to scientists, engineers, PhD scholars, and postgraduate and graduate students who are and will be engaged in R&D of optics and wireless communication and networks.
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The incredible growth of hybrid wireless networks and sensors-based communication technologies has led to research in both academia and industry for intelligent, efficient, and robust technologies to satisfy the requirements of future users. This new book, Hybrid Optical Wireless Networks and Sensor Technologies, covers the tools, techniques, and trends in hybrid optical wireless networks and sensor technologies that can be applied in various domains.
Addressing recent trends and opportunities in wireless networks, the chapters in the book cover the categorization of various hybrid optical wireless networks and sensor networks, algorithm optimization for intelligent wireless and mobile networks, optic-based wireless networks, bio-inspired algorithms and methods for wireless networks and sensor networks, and more.
The diverse topics include deep learning in mobile device sensors, optimized wireless propagation models, underwater communication through hybrid optical wireless networks, sensor technology for advanced agriculture, sensors as attack and defense mechanisms for vehicles, wireless underground sensor networks for smart cities, IoT-based biosensors in smart healthcare applications, and more.
Key highlights:
With chapters meticulously selected and reviewed by knowledgeable experts, this volume will be helpful for future research in this field with a focus on real-world problems. The scientific and technical information found here will be valuable to scientists, engineers, PhD scholars, and postgraduate and graduate students who are and will be engaged in R&D of optics and wireless communication and networks.
Reviews