Domenico Ciuonzo – författare

Understand the fundamental building blocks of the Internet of Things The Internet of Things is the term for an ever-growing body of physical devices, vehicles, rooms, and other objects that can collect and exchange data using embedded capacities for network connectivity. Wireless Sensor Networks (WSNs) represent the ‘sensing arm’ of this network of objects, providing the mechanism for collecting and transmitting data from these objects. Wireless Sensor Networks in Smart Environments offers a timely and comprehensive overview of these networks and their broader impacts. Adopting both methodology- and application-oriented perspectives, the book covers both the foundational principles of WSNs and the most recent technological developments. Readers will also find: Concrete real-world examples of recent applicationsDetailed discussion of WSNs from the perspectives of signal processing, data communication, and securityCoverage of inference, learning, control, and decision-making processesWireless Sensor Networks in Smart Environments is ideal for researchers and graduate students working in signal processing, communications, and machine learning.

Understand the fundamental building blocks of the Internet of Things

The Internet of Things is the term for an ever-growing body of physical devices, vehicles, rooms, and other objects that can collect and exchange data using embedded capacities for network connectivity. Wireless Sensor Networks (WSNs) represent the ‘sensing arm’ of this network of objects, providing the mechanism for collecting and transmitting data from these objects. Wireless Sensor Networks in Smart Environments offers a timely and comprehensive overview of these networks and their broader impacts. Adopting both methodology- and application-oriented perspectives, the book covers both the foundational principles of WSNs and the most recent technological developments.

Readers will also find:

Concrete real-world examples of recent applicationsDetailed discussion of WSNs from the perspectives of signal processing, data communication, and securityCoverage of inference, learning, control, and decision-making processes

Wireless Sensor Networks in Smart Environments is ideal for researchers and graduate students working in signal processing, communications, and machine learning.

Understand the fundamental building blocks of the Internet of Things

The Internet of Things is the term for an ever-growing body of physical devices, vehicles, rooms, and other objects that can collect and exchange data using embedded capacities for network connectivity. Wireless Sensor Networks (WSNs) represent the ‘sensing arm’ of this network of objects, providing the mechanism for collecting and transmitting data from these objects. Wireless Sensor Networks in Smart Environments offers a timely and comprehensive overview of these networks and their broader impacts. Adopting both methodology- and application-oriented perspectives, the book covers both the foundational principles of WSNs and the most recent technological developments.

Readers will also find:

Concrete real-world examples of recent applicationsDetailed discussion of WSNs from the perspectives of signal processing, data communication, and securityCoverage of inference, learning, control, and decision-making processes

Wireless Sensor Networks in Smart Environments is ideal for researchers and graduate students working in signal processing, communications, and machine learning.

The role of data fusion has been expanding in recent years through the incorporation of pervasive applications, where the physical infrastructure is coupled with information and communication technologies, such as wireless sensor networks for the internet of things (IoT), e-health and Industry 4.0. In this edited reference, the authors provide advanced tools for the design, analysis and implementation of inference algorithms in wireless sensor networks.The book is directed at the sensing, signal processing, and ICTs research communities. The contents will be of particular use to researchers (from academia and industry) and practitioners working in wireless sensor networks, IoT, E-health and Industry 4.0 applications who wish to understand the basics of inference problems. It will also be of interest to professionals, and graduate and PhD students who wish to understand the fundamental concepts of inference algorithms based on intelligent and energy-efficient protocols.

This book constitutes the refereed proceedings of the 4th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2018, held in Bangalore, India, in September 2018.The 28 revised full papers and 11 revised short papers presented were carefully reviewed and selected from 92 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.

This book constitutes the refereed proceedings of the 4th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2018, held in Bangalore, India, in September 2018.

The 28 revised full papers and 11 revised short papers presented were carefully reviewed and selected from 92 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.

This book constitutes the refereed proceedings of the 6th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2020, held in Chennai, India, in October 2020. Due to the COVID-19 pandemic the conference was held online. The 22 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 50 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.