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Sensors in the Age of the Internet of Things

Author: Octavian Adrian Postolache

Publisher: Control, Robotics and Sensors

Published: 2019-09

Total Pages: 319

ISBN-13: 178561634X

The IoT is the inter-networking of connected and smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. A sensor is a detection device that measures, records, or responds to a physical property. Sensors represent the front end of information processing. Progress in communication technologies is part of the multi-factorial advances in electronics, sensors, embedded computing, signal processing and machine learning methods that has led to the development of new capabilities in the IoT. This edited book focuses on the technologies constituting the IoT from a sensor perspective, for an audience of researchers, scientists, engineers and graduate students with an interest in the field. Applications covered include connected sensors for smart cities, energy infrastructure, emergency management, and smart ports.

Internet of Things (IoT) for Automated and Smart Applications

Author: Yasser Ismail

Publisher: BoD – Books on Demand

Published: 2019-11-27

Total Pages: 154

ISBN-13: 1789840953

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Internet of Things (IoT) is a recent technology paradigm that creates a global network of machines and devices that are capable of communicating with each other. Security cameras, sensors, vehicles, buildings, and software are examples of devices that can exchange data between each other. IoT is recognized as one of the most important areas of future technologies and is gaining vast recognition in a wide range of applications and fields related to smart homes and cities, military, education, hospitals, homeland security systems, transportation and autonomous connected cars, agriculture, intelligent shopping systems, and other modern technologies. This book explores the most important IoT automated and smart applications to help the reader understand the principle of using IoT in such applications.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Author: Velayutham, Sathiyamoorthi

Publisher: IGI Global

Published: 2021-01-29

Total Pages: 350

ISBN-13: 1799831132

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In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Smart Sensors at the IoT Frontier

Author: Hiroto Yasuura

Publisher: Springer

Published: 2017-05-29

Total Pages: 374

ISBN-13: 3319553453

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This book describes technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoT). The authors provide a multidisciplinary view of sensor technology from materials, process, circuits, to big data domains and they showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book provides a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.

Managing and Mining Sensor Data

Author: Charu C. Aggarwal

Publisher: Springer Science & Business Media

Published: 2013-01-15

Total Pages: 547

ISBN-13: 1461463092

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Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.

Smart Sensors for Industrial Internet of Things

Author: Deepak Gupta

Publisher: Springer Nature

Published: 2021-02-01

Total Pages: 313

ISBN-13: 3030526240

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This book brings together the latest research in smart sensors technology and exposes the reader to myriad industrial applications that this technology has enabled. The book emphasizes several topics in the area of smart sensors in industrial real-world applications. The contributions in this book give a broader view on the usage of smart sensor devices covering a wide range of interdisciplinary areas like Intelligent Transport Systems, Healthcare, Agriculture, Drone communications and Security. By presenting an insight into Smart Sensors for Industrial IoT, this book directs the readers to explore the utility and advancement in smart sensors and their applications into numerous research fields. Lastly, the book aims to reach through a mass number of industry experts, researchers, scientists, engineers, and practitioners and help them guide and evolve to advance research practices.

Introduction to Sensors in IoT and Cloud Computing Applications

Author: Ambika Nagaraj

Publisher: Bentham Science Publishers

Published: 2021-02-01

Total Pages: 160

ISBN-13: 981147933X

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Introduction to Sensors in IoT and Cloud Computing Applications provides information about sensors and their applications. Readers are first introduced to the concept of small instruments and their application as sensors. The chapters which follow explain Internet of Things (IoT) architecture while providing notes on the implementation, demonstration and related issues of IoT systems. The book continues to explore the topic by providing information about sensor-cloud infrastructure, mobile cloud, fog computing (an extension of cloud computing that takes cloud computing to the cutting-edge of networking where data is produced) and integration of IoT devices with cloud computing. The book also presents notes on the taxonomy of fog-computing systems. The six chapters in this book provide essential information for general readers, and students of computer science to understand the basics of cloud computing networks, related concepts and applications.

Internet of Things

Author: Subhas Chandra Mukhopadhyay

Publisher: Springer Science & Business Media

Published: 2014-01-25

Total Pages: 259

ISBN-13: 3319042238

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Advancement in sensor technology, smart instrumentation, wireless sensor networks, miniaturization, RFID and information processing is helping towards the realization of Internet of Things (IoT). IoTs are finding applications in various area applications including environmental monitoring, intelligent buildings, smart grids and so on. This book provides design challenges of IoT, theory, various protocols, implementation issues and a few case study. The book will be very useful for postgraduate students and researchers to know from basics to implementation of IoT.

Internet of Things (IoT)

Author: BK Tripathy

Publisher: CRC Press

Published: 2017-10-10

Total Pages: 334

ISBN-13: 1351980297

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The term IoT, which was first proposed by Kevin Ashton, a British technologist, in 1999 has the potential to impact everything from new product opportunities to shop floor optimization to factory worker efficiency gains, that will power top-line and bottom-line gains. As IoT technology is being put to diversified use, the current technology needs to be improved to enhance privacy and built secure devices by adopting a security-focused approach, reducing the amount of data collected, increasing transparency and providing consumers with a choice to opt out. Therefore, the current volume has been compiled, in an effort to draw the various issues in IoT, challenges faced and existing solutions so far. Key Points: • Provides an overview of basic concepts and technologies of IoT with communication technologies ranging from 4G to 5G and its architecture. • Discusses recent security and privacy studies and social behavior of human beings over IoT. • Covers the issues related to sensors, business model, principles, paradigms, green IoT and solutions to handle relevant challenges. • Presents the readers with practical ideas of using IoT, how it deals with human dynamics, the ecosystem, the social objects and their relation. • Deals with the challenges involved in surpassing diversified architecture, protocol, communications, integrity and security.

Implementation of an Age of Information Aware Wireless Sensor Networks

Author: Frederick Chache

Publisher:

Published: 2024

Total Pages: 0

ISBN-13:

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Wireless internet connected sensor networks have a wide variety of applications in sensing and communications. The range of applications is generally limited by a device's ability to have and maintain internet access, which constrains devices to more indoor and urban environments. Advances in 5G technology and in low power RF modulation have provided the tools to greatly expand the range of environments in which Internet of Things (IoT) devices can operate. For example, the agriculture industry increasingly demands IoT devices to enable automation, but these typically operate in environments with minimal digital infrastructure, where internet coverage is either nonexistent or cost prohibitive for low cost sensors. This dissertation demonstrates how a range of new and established technologies can be leveraged to develop a low cost, low power, and resilient network for digital applications in rural environments. Long Range (LoRa) is a low power, long range radio frequency (RF) modulation scheme with low data rates which provides the physical layer backbone of the architecture. Fifth generation (5G) mobile network channel encoding technologies, such as channel encoding and data compression, are leveraged to improve data rates and effective ranges. Furthermore, mesh networking technologies can be used to allow nodes to generate independent networks in real time, acting as gateway nodes to share internet connection with more distant nodes. These technologies all possess inherent drawbacks that must be balanced in order to develop a network capable of delivering data that are useful and timely to the back end applications requiring the sensor data. To this end, the Age of Information (AoI) paradigm was utilized to provide a performance metric for these applications. Extensive work was done to extend the existing AoI models to encompass the new technologies. Using theses approaches, extensive simulation and theoretical models could be developed to study the effects of the new technologies and enable the development of more refined algorithms. In this work, an architecture was developed that utilizes these technologies to prove its effectiveness. This architecture was tested using low cost hardware to validate the theoretical models using the measured results.