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Comprehensive Guide to Heterogeneous Networks discusses the fundamental motivations behind this cutting-edge development, along with a brief discussion on the diverse definitions of HNs. The future of heterogeneous wireless networks (HWNs) is covered, including test cases, cost configuration, economic benefits and basic challenges. Other sections cover the topology management method in context of heterogeneous sensor nodes with diverse communication and sensing range. In addition, an outline of the pros and cons of the clustering criteria in HWSNs and taxonomy are summarized and provide futuristic research directions. Final sections discuss the future evolution of HNs and their implementations in diverse applications.
This is an essential reference book for advanced students on courses in wireless communications, clinical engineering and networking. It will also be of interest to researchers, network planners, technical mangers and other professionals in these fields.
Discusses the most important problems, challenges and issues which arise when designing real-time heterogeneous networks for diverse scenarios Represents the unique features of heterogeneous sensor networks, giving the end-user a better understanding of the environment Provides an overview of real-time performance issues in heterogeneous networks, specifically multi-tasking, multi-level scheduling, localization and security issues Includes applications of heterogeneous networks in diverse fields and focuses on the convergence of heterogeneous wireless networks for 5G1 708 kr
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Showcasing the diverse ways that IoT can be employed for improvement in many areas of contemporary life, this new volume explores a multitude of IoT applications that provide advanced solutions for real-world problems. The selection of topics includes network on chip as the new paradigm for system on chip integration for maintaining high performance for IoT applications; new router designs to increase speed; and the challenges of wireless underground sensor networks, which have a wide range of applications in military, underground sensing, testing soil traits and moisture content, pollution control and location detection, security, and detection of natural calamities. Various state-of-the-art techniques such as optimization schemes, blockchain, machine learning, orthogonal frequency division multiplexing, etc., are also discussed in the context of cognitive IoT.
The volume considers the uses of IoT in agriculture, discussing challenges along with solutions with the help of the latest technical smart tools to uplift the farming community, specifically IoT applications for information gathering to improve yield productivity, food and crop quality and sustainability, monitoring toxic substances and soil properties, etc. The book also covers a broad spectrum of IoT applications in the educational industry along with the challenges associated with them and how to facilitate the use of smart classroom technology. A chapter on IoT in the healthcare industry presents an IoT-based GPS-enabled smart jacket design to monitor heart rate, sugar level, blood pressure, fever, and stress level. The authors also present an IoT-based Peltier air conditioner design that overcomes the limitations of existing HVAC framework, a review of various energy harvesting techniques to generate electrical power from non-conventional power sources with their merits and demerits, and much more.
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Showcasing the diverse ways that IoT can be employed for improvement in many areas of contemporary life, this new volume explores a multitude of IoT applications that provide advanced solutions for real-world problems. The selection of topics includes network on chip as the new paradigm for system on chip integration for maintaining high performance for IoT applications; new router designs to increase speed; and the challenges of wireless underground sensor networks, which have a wide range of applications in military, underground sensing, testing soil traits and moisture content, pollution control and location detection, security, and detection of natural calamities. Various state-of-the-art techniques such as optimization schemes, blockchain, machine learning, orthogonal frequency division multiplexing, etc., are also discussed in the context of cognitive IoT.
The volume considers the uses of IoT in agriculture, discussing challenges along with solutions with the help of the latest technical smart tools to uplift the farming community, specifically IoT applications for information gathering to improve yield productivity, food and crop quality and sustainability, monitoring toxic substances and soil properties, etc. The book also covers a broad spectrum of IoT applications in the educational industry along with the challenges associated with them and how to facilitate the use of smart classroom technology. A chapter on IoT in the healthcare industry presents an IoT-based GPS-enabled smart jacket design to monitor heart rate, sugar level, blood pressure, fever, and stress level. The authors also present an IoT-based Peltier air conditioner design that overcomes the limitations of existing HVAC framework, a review of various energy harvesting techniques to generate electrical power from non-conventional power sources with their merits and demerits, and much more.
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The incredible growth of hybrid wireless networks and sensor-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 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 book covers 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.
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The incredible growth of hybrid wireless networks and sensor-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 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 book covers 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.
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