
Smart Innovation of Web of Things
CRC Press
1st Edition
Published on 23. June 2020
Book
Hardback
212 pages
978-0-367-27565-5 (ISBN)
Description
The Web of Things (WoT) is a concept that describes approaches, programming tools and software architectural systems, which interface networks of real-world objects with the World Wide Web. The book is organized into 11 chapters, each focusing on a unique wireless technological aspect of the Web of Things, and it aims to comprehensively cover each of its various applications, including:
A strong emphasis on WoT problems and solutions, identifying the main open issues, innovations and latest technologies behind WoT
A blend of theoretical and simulation-based problems for better understanding of the concepts behind WoT
Various exemplifying applications in which the use of WoT is very attractive and an inspiration for future applications
The book will be useful to researchers, software developers and undergraduate and postgraduate students, as well as practitioners.
A strong emphasis on WoT problems and solutions, identifying the main open issues, innovations and latest technologies behind WoT
A blend of theoretical and simulation-based problems for better understanding of the concepts behind WoT
Various exemplifying applications in which the use of WoT is very attractive and an inspiration for future applications
The book will be useful to researchers, software developers and undergraduate and postgraduate students, as well as practitioners.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
65 s/w Abbildungen, 51 s/w Photographien bzw. Rasterbilder, 6 s/w Tabellen, 11 s/w Zeichnungen
6 Tables, black and white; 11 Line drawings, black and white; 51 Halftones, black and white; 65 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 17 mm
Weight
511 gr
ISBN-13
978-0-367-27565-5 (9780367275655)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Aarti Jain | Ruben Gonzalez Crespo | Manju Khari
Smart Innovation of Web of Things
Book
02/2022
1st Edition
CRC Press
€186.80
Shipment within 15-20 days

Aarti Jain | Ruben Gonzalez Crespo | Manju Khari
Smart Innovation of Web of Things
E-Book
06/2020
1st Edition
CRC Press
€184.99
Available for download

Aarti Jain | Ruben Gonzalez Crespo | Manju Khari
Smart Innovation of Web of Things
E-Book
06/2020
1st Edition
CRC Press
€184.99
Available for download
Persons
Aarti Jain, PhD, is Assistant Professor at Ambedkar Institute of Advanced Communication Technologies and Research (AIACTR), Under Government of NCT Delhi, affiliated with Guru Gobind Singh Indraprastha (GGSIP) University, Delhi, India.
Ruben Gonzalez Crespo, PhD, is Dean of the School of Engineering and Technology at La Universidad en Internet (UNIR) and Director of Policy and Academic Planning at the Universidad Internacional de La Rioja, Spain.
Manju Khari, PhD, is Assistant Professor and Professor in Charge of IT Services at Ambedkar Institute of Advanced Communication Technologies and Research (AIACTR), Under Government of NCT Delhi, affiliated with Guru Gobind Singh Indraprastha (GGSIP) University, Delhi, India.
Ruben Gonzalez Crespo, PhD, is Dean of the School of Engineering and Technology at La Universidad en Internet (UNIR) and Director of Policy and Academic Planning at the Universidad Internacional de La Rioja, Spain.
Manju Khari, PhD, is Assistant Professor and Professor in Charge of IT Services at Ambedkar Institute of Advanced Communication Technologies and Research (AIACTR), Under Government of NCT Delhi, affiliated with Guru Gobind Singh Indraprastha (GGSIP) University, Delhi, India.
Author
Dean, Full Professor, Universidad Internacional de La Rioja, Spain
Ambedkar Institute of Advanced Communication Technologies and Research, India
Content
1. Emergence of Web of Things. 2. WoT-Enabled Delay-Tolerant Networks. 3. Deep Learning-Based Decision Making with WoT for Smart City Development 4. Predicting Epilepsy Seizures Using Machine Learning and IoT. 5. Cognitive Radio Networks. 6. Extended Paradigms for Botnets with WoT Applications: A Review. 7. WoT-Enabled Smart Cities. 8. Wot-Enabled Retail Management. 9. WoT-Enabled Banking Sector Modernization. 10. The Revolutionary Future Impact of Web of Things in the Retail Industry: Toward Intelligent Retail. 11. AndroSet: An Automated Tool to Create Datasets for Android Malware Detection and Functioning with WoT.