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Sensor Network Methodologies For Smart Applications


Sensor Network Methodologies For Smart Applications
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Sensor Network Methodologies For Smart Applications


Sensor Network Methodologies For Smart Applications
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Author : Krit, Salahddine
language : en
Publisher: IGI Global
Release Date : 2020-06-26

Sensor Network Methodologies For Smart Applications written by Krit, Salahddine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-26 with Computers categories.


Technologies in today’s society are rapidly developing at a pace that is challenging to stay up to date with. As an increasing number of global regions are implementing smart methods and strategies for sustainable development, they are continually searching for modern advancements within computer science, sensor networks, software engineering, and smart technologies. A compilation of research is needed that displays current applications of computing methodologies in the progression of global cities and how smart technologies are being utilized. Sensor Network Methodologies for Smart Applications is a collection of innovative research on the methods of intelligent systems and technologies and their various applications within sustainable development practices. While highlighting topics including machine learning, network security, and optimization algorithms, this book is ideally designed for researchers, scientists, developers, programmers, engineers, educators, policymakers, geographers, planners, and students seeking current research on smart technologies and sensor networks.



Smart Sensor Networks


Smart Sensor Networks
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Author : Umang Singh
language : en
Publisher: Springer Nature
Release Date : 2021-09-01

Smart Sensor Networks written by Umang Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.


This book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks. Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications. This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc. Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects.



Intelligent Sensor Networks


Intelligent Sensor Networks
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Author : Fei Hu
language : en
Publisher: CRC Press
Release Date : 2012-12-15

Intelligent Sensor Networks written by Fei Hu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-15 with Technology & Engineering categories.


Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.



Artificial Intelligence Techniques In Iot Sensor Networks


Artificial Intelligence Techniques In Iot Sensor Networks
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Author : Mohamed Elhoseny
language : en
Publisher: CRC Press
Release Date : 2020-12-22

Artificial Intelligence Techniques In Iot Sensor Networks written by Mohamed Elhoseny and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Computers categories.


Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present and near term. The book maps the technical impacts of AI technologies, applications and their implications on the design of solutions for sensor networks. This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition, professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover, graduate and master’s students of any departments related to AI, IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications. This book is written in a simple and easy language, discussing the fundamentals, which relieves the requirement of having early backgrounds in the field. From this expectation and experience, many libraries will be interested in owning copies of this work.



Iot Enabled Sensor Networks Architecture Methodologies Security And Futuristic Applications


Iot Enabled Sensor Networks Architecture Methodologies Security And Futuristic Applications
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Author : Samayveer Singh, Manju, Aruna Malik, Pradeep Kumar Singh
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-03-01

Iot Enabled Sensor Networks Architecture Methodologies Security And Futuristic Applications written by Samayveer Singh, Manju, Aruna Malik, Pradeep Kumar Singh and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with Computers categories.


This volume explores IoT architectures, their configuration, and operability in wireless sensor networks. The topics are spread across nine structured chapters covering fundamental and applied knowledge about wireless sensor networks using IoT devices. The book starts with an introduction to the subject, giving readers a quick overview of IoT enabled networks and bio-inspired approaches towards network design. This is followed by chapters explaining optimized routing protocols for accident detection, efficiency and performance analysis. The book concludes with four chapters dedicated to security applications of wireless networks, for homes, urban areas and businesses. Overall, the volume gives a balance of theoretical and practical information for readers. The book is intended as a resource for graduate and postgraduate students for understanding network design for home and embedded applications, specifically using single board computing devices. It also serves as a guide for networking courses and assessments.



Energy Harvesting For Wireless Sensor Networks


Energy Harvesting For Wireless Sensor Networks
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Author : Olfa Kanoun
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2018-11-19

Energy Harvesting For Wireless Sensor Networks written by Olfa Kanoun and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-19 with Science categories.


Wireless sensors and sensor networks (WSNs) are nowadays becoming increasingly important due to their decisive advantages. Different trends towards the Internet of Things (IoT), Industry 4.0 and 5G Networks address massive sensing and admit to have wireless sensors delivering measurement data directly to the Web in a reliable and easy manner. These sensors can only be supported, if sufficient energy efficiency and flexible solutions are developed for energy-aware wireless sensor nodes. In the last years, different possibilities for energy harvesting have been investigated showing a high level of maturity. This book gives therefore an overview on fundamentals and techniques for energy harvesting and energy transfer from different points of view. Different techniques and methods for energy transfer, management and energy saving on network level are reported together with selected interesting applications. The book is interesting for researchers, developers and students in the field of sensors, wireless sensors, WSNs, IoT and manifold application fields using related technologies. The book is organized in four major parts. The first part of the book introduces essential fundamentals and methods, while the second part focusses on vibration converters and hybridization. The third part is dedicated to wireless energy transfer, including both RF and inductive energy transfer. Finally, the fourth part of the book treats energy saving and management strategies. The main contents are: Essential fundamentals and methods of wireless sensors Energy harvesting from vibration Hybrid vibration energy converters Electromagnetic transducers Piezoelectric transducers Magneto-electric transducers Non-linear broadband converters Energy transfer via magnetic fields RF energy transfer Energy saving techniques Energy management strategies Energy management on network level Applications in agriculture Applications in structural health monitoring Application in power grids Prof. Dr. Olfa Kanoun is professor for measurement and sensor technology at Chemnitz university of technology. She is specialist in the field of sensors and sensor systems design.



Blockchain And Digital Twin For Smart Healthcare


Blockchain And Digital Twin For Smart Healthcare
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Author : Tuan Anh Nguyen
language : en
Publisher: Elsevier
Release Date : 2025-02-15

Blockchain And Digital Twin For Smart Healthcare written by Tuan Anh Nguyen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-15 with Computers categories.


The smart hospital framework involves three main layers: data, insight and access. Medical data is collected real-time from devices and systems in a smart hospitals: the internet of medical things. This data is integrated to provide insight from the analytics or machine learning software using digital twins. Security and transparency are brought through a combination of digital twin and blockchain technologies. Blockchain and Digital Twins for Smart Healthcare describes the role of blockchain and digital twins in smart healthcare. It describes the ecosystem of the Internet of Medical Things, how data can be gathered using a sensor network, which is securely stored, updated and managed with blockchain for efficient and private medical data exchange. The end goal is insight that provides faster, smarter decisions with more efficiency to improve care for the patient. - Provides the fundamentals of blockchain, digital twin and IoMT - Presents a useful guide for readers on the new applications of blockchain, medical digital twin and IoMT - Explores how blockchain and digital twin can be used in the IoMT , smart hospitals, and for future healthcare services



Sensor Networks For Smart Hospitals


Sensor Networks For Smart Hospitals
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Author : Tuan Anh Nguyen
language : en
Publisher: Elsevier
Release Date : 2025-01-23

Sensor Networks For Smart Hospitals written by Tuan Anh Nguyen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Computers categories.


Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access.Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency. - Describes the fundamentals of sensors, biosensors, and smart hospitals - Explains how sensors and implanted nanodevices can be used in smart healthcare - Discusses how intelligent wireless medical sensor networks can be used for healthcare in the future - Companion volume to Advanced Sensors for Smart Healthcare



Technological Applications For Smart Sensors


Technological Applications For Smart Sensors
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Author : S. Kannadhasan
language : en
Publisher: CRC Press
Release Date : 2025-09-15

Technological Applications For Smart Sensors written by S. Kannadhasan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-15 with Technology & Engineering categories.


This new volume presents a plethora of clever real-time applications of smart sensor technology with examples from diverse areas. The volume showcases novel applications of smart sensors, such as for automatic dual axis solar tracking systems, for wearable flexible electronic devices, for effective security systems in banking and finance, in healthcare for cancer detection and cardiac patient monitoring, for chemical safety in laboratories, for water quality monitoring systems, for agricultural irrigation control, for maintenance of industrial machines, for fire detection safety systems, to name a few of the many smart sensor innovations highlighted in this volume.



Metaheuristics And Reinforcement Techniques For Smart Sensor Applications


Metaheuristics And Reinforcement Techniques For Smart Sensor Applications
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Author : Adwitiya Sinha
language : en
Publisher: CRC Press
Release Date : 2024-10-23

Metaheuristics And Reinforcement Techniques For Smart Sensor Applications written by Adwitiya Sinha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Computers categories.


This book discusses the fundamentals of wireless sensor networks,and the prevailing method and trends of smart sensor applications. It presents analytical modelling to foster the understanding of network challenges in developing protocols for next-generation communication standards. • Presents an overview of the low-power sensor, network standards, design challenges and sensor network simulation • Focusses on clustering, methods available for wireless sensor networks to tackle energy hole problems, load balancing and network lifetime enhancements • Discusses enhanced versions of energy models enriched with energy harvesting • Provides an insight into coverage and connectivity issues with genetic meta-heuristics, evolutionary models and reinforcement methodologies designed for wireless sensor networks • Includes a wide range of sensor network applications and their integration with social networks and neural computing. The reference book is for researchers and scholars interested in Smart Sensor applications.