Internet of Everything

Algorithms, Methodologies, Technologies and Perspectives

  • Beniamino Di Martino
  • Kuan-Ching Li
  • Laurence T. Yang
  • Antonio Esposito

Part of the Internet of Things book series (ITTCC)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Beniamino Di Martino, Kuan-Ching Li, Laurence Tianruo Yang, Antonio Esposito
    Pages 1-12
  3. Beniamino Di Martino, Antonio Esposito, Stefania Nacchia, Salvatore Augusto Maisto
    Pages 13-33
  4. Cheuk-Wang Yau, Tyrone Tai-On Kwok, Chi-Un Lei, Yu-Kwong Kwok
    Pages 35-79
  5. Jasmin Guth, Uwe Breitenbücher, Michael Falkenthal, Paul Fremantle, Oliver Kopp, Frank Leymann et al.
    Pages 81-101
  6. Redowan Mahmud, Ramamohanarao Kotagiri, Rajkumar Buyya
    Pages 103-130
  7. Yuvraj Sahni, Jiannong Cao, Jiaxing Shen
    Pages 131-152
  8. Stefan Nastic, Javier Cubo, Malena Donato, Schahram Dustdar, Örjan Guthu. Mats Jonsson, Ömer Özdemir et al.
    Pages 153-173
  9. Claudio A. Ardagna, Ernesto Damiani, Julian Schütte, Philipp Stephanow
    Pages 175-192
  10. Wei Liang, Jing Long, Dafang Zhang, Xiong Li, Yin Huang
    Pages 193-216
  11. Dragoş Ionicǎ, Nirvana Popescu, Decebal Popescu, Florin Pop
    Pages 217-231

About this book


This book focuses on the Internet of Everything and related fields. The Internet of Everything adds connectivity and intelligence to just about every device, giving it special functions. The book provides a common platform for integrating information from heterogeneous sources. However, this can be quite reductive, as the Internet of Everything provides links not only among things, but also data, people, and business processes. The evolution of current sensor and device networks, with strong interactions between people and social environments, will have a dramatic impact on everything from city planning, first responders, the military and health.

Such a shared ecosystem will allow for the interaction between data, sensor inputs and heterogeneous systems. Semantics is a fundamental component of this since semantic technologies are able to provide the necessary bridge between different data representations, and to solve terminology incongruence.

Integrating data from distributed devices, sensor networks, social networks and biomedical instruments requires, first of all, the systematization of the current state of the art in such fields. Then, it is necessary to identify a common action thread to actually merge and homogenize standards and techniques applied in such a heterogeneous field. The exact requirements of an Internet of Everything environment need to be precisely identified and formally expressed, and finally, the role of modern computing paradigms, such as Cloud and Fog Computing, needs to be assessed with respect to the requirements expressed by an Internet of Everything ecosystem.


Internet of Things (IoT) Internet of People (IoP) Industrial Internet (II) Semantic technologies Intelligent guidance systems e-Government Assistive Technology Biomedical data processing

Editors and affiliations

  • Beniamino Di Martino
    • 1
  • Kuan-Ching Li
    • 2
  • Laurence T. Yang
    • 3
  • Antonio Esposito
    • 4
  1. 1.Department of Industrial and Information EngineeringUniversità degli studi della Campania Luigi VanvitelliNaplesItaly
  2. 2.Providence UniversityTaichungTaiwan
  3. 3.Department of Computer ScienceSt. Francis Xavier UniversityAntigonishCanada
  4. 4.Università degli studi della Campania Luigi VanvitelliAversaItaly

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-10-5860-8
  • Online ISBN 978-981-10-5861-5
  • Series Print ISSN 2199-1073
  • Series Online ISSN 2199-1081
  • Buy this book on publisher's site
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