CALL FOR BOOK CHAPTERS
Book Title: IoT Edge Intelligence
Publication: Springer
Description of the Book
The book is intended to discuss the evolution of future generation Technologies through artificial intelligence in the scope of Cloud Computing, Edge Computing, and Internet of Things. The main focus of this volume is to bring all the related technologies in a single platform, so that Undergraduate and Postgraduate students, Researchers, Academicians, and Industry people can easily understand the IoT Edge, Edge Computing, Device-Edge and Learning Analytics in Edge-enabled Technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT Edge-Cloud ecosystem and to implement cyber-physical pervasive infrastructure solutions.
This book will take the readers on a journey that begins with understanding the insight paradigm of AI-enabled IoT Edge technologies and how it can be applied in various aspects. This proposed book will help researchers and practitioners to understand the design architecture and AI algorithms and learning analytics through IoT Edge, Device-edge and the state-of-the-art in Cloud-IoT countermeasures. It provides a comprehensive discussion on Functional Framework and knowledge Hierarchy for Edge computing, cognitive Radio, Signal Processing, Edge Access Networks & Systems, Services & Software for IoT Edge, Platforms & Systems for IoT Edge, CPU/GPU and Hardware for IoT Edge, AI Enabled Edge Computing, Blockchain & Zero Trust in IoT Edge, Edge Centric Convergence of IoT & Cloud Computing, Collaborative Edge & Cloud Computing, Storage and Caching at the Edge, QoS & QoE at the Edge, Artificial Intelligence at the Edge, Machine Learning at the Edge, Secure, Reliable and Trusted Edge Computing and Communications, and Networks and Communications at edge devices. This edited book aims to provide the concepts of related technologies and novel findings of the researchers through its Chapter Organization. The book explores AI-enabled IoT Edge paradigms which will be utilized as a part of betterment of mankind in the future era. Specifically, the far reaching references of various works and executions will be observed to be significant accumulations for engineers and organizations. The primary audience for the book incorporates specialists, researchers, graduate understudies, designers, experts and engineers who are occupied with research on Edge Computing, IoT Edge, Internet of Things, Artificial Intelligence, Machine Learning, and applications.
Table of Contents
Tentative Topics: (But NOT Limited to:)
Functional Framework and knowledge Hierarchy for Edge computing,
Cognitive Radio for IoT Edge, Edge Access Networks & Systems,
Services & Software for IoT Edge, Platforms & Systems for IoT Edge,
CPU/GPU and Hardware for IoT Edge, AI Enabled Edge Computing,
Learning system in IoT Edge: training data, concept representation, function approximation.
Intelligent Object Identification in IoT Edge Devices: Intelligent sensors, Micro Electro Mechanical Systems (MEMS), Object discovery, electronic product codes (EPC) and ubiquitous codes (uCode).
IoT-enabled M2M Technology and Software-Defined Networking (SDN), RFID Technology
Statistical and computational learning theorem for IoT Edge applications
Algorithms and architectures for high-performance computation for IoT Edge framework
Applications of Linear Regression, classification, and Feature Selection
Support Vector Machines and Artificial Neural Networks for IoT Edge Devices
Applications of Bayesian Learning, Decision Trees, clustering IoT Edge Devices
Deep learning frameworks (architectures, generative models, deep reinforcement learning)
Collaborative Edge & Cloud Computing,
Storage and Caching at the Edge,
Edge Centric Convergence of IoT & Cloud Computing,
Collaborative Edge & Cloud Computing,
Mobility management in IoT Edge environment,
Distributed and federated machine learning in IoT Edge environment,
Middleware and runtime systems for IoT Edge infrastructures
Programming models for IoT Edge environment,
Storage and data management platforms for IoT Edge environment,
Scheduling and resource management for IoT Edge infrastructures,
Secure, Reliable and Trusted Edge Computing and Communications,
Security, privacy, trust and provenance issues in IoT Edge environment,
Blockchain & Zero Trust in IoT Edge,
Distributed consensus and blockchains at IoT Edge environment,
Modelling and simulation of IoT Edge environment,
Case Studies:
(A) Vehicular System & Network
(B) Ad-hoc & Sensor Networks
(C) Satellite & Space Systems
(D) Underwater and Maritime Systems
(E) Smart Grid Systems
(F) Unmanned Aerial Vehicle Systems
(G) IoT and Sensor Networks
Editor(s)
Souvik Pal, Sister Nivedita University, Kolkata, India
souvikpal22@gmail.com
Claudio Savaglio, Italian National Research Council (CNR), Rende, Italy
csavaglio@dimes.unical.it
Roberto MINERVA, Institut Mines-Telecom, Telecom SudParis, Evry, France
roberto.minerva@telecom-sudparis.eu
Flávia C. Delicato, Fluminense Federal University, Niteroi, Brazil
fdelicato@ic.uff.br
Publication
This book will be published in the Springer Series "Internet of Things - Technologies, Communications and Computing"
Electronic ISSN: 2199-1081
Print ISSN: 2199-1073
Indexing: Internet of Things is covered by Scopus and Ei-Compendex **
Important Dates
Abstract Submission Date: 20 February, 2023 15 March, 2023 (Hard Headline)
Full Chapter Submission Date: 30 June, 2023
Cameraready Submission Date: 31 August, 2023
Download Springer Format
Please Note:
Initial Abstract may be within 1 page.
Number of full chapter Pages :
(a) Minimum number of pages: 20 (after compliance with Springer format)
(b) Maximum number of pages: 30 (after compliance with Springer format)