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Smart City Networks

Through the Internet of Things

  • Stamatina Th. Rassia
  • Panos M. Pardalos

Part of the Springer Optimization and Its Applications book series (SOIA, volume 125)

Table of contents

About this book

Introduction

This book both analyzes and synthesizes new cutting-edge theories and methods for future design implementations in smart cities through interdisciplinary synergizing of architecture, technology, and the Internet of Things (IoT). Implementation of IoT enables the collection and data exchange of objects embedded with electronics, software, sensors, and network connectivity. Recently IoT practices have moved into uniquely identifiable objects that are able to transfer data directly into networks. This book features new technologically advanced ideas, highlighting properties of smart future city networks.

Chapter contributors include theorists, computer scientists, mathematicians, and interdisciplinary planners, who currently work on identifying theories, essential elements, and practices where the IoT can impact the formation of smart cities and sustainability via optimization, network analyses, data mining, mathematical modeling and engineering. Moreover, this book includes research-based theories and real world practices aimed toward graduate researchers, experts, practitioners and the general public interested in architecture, engineering, mathematical modeling, industrial design, computer science technologies, and related fields.

Keywords

smart cities and sustainability Internet of Things transfer data sustainable design design optimization future cities network analysis

Editors and affiliations

  • Stamatina Th. Rassia
    • 1
  • Panos M. Pardalos
    • 2
  1. 1.INSEADFontainebleauFrance
  2. 2.Industrial and Systems EngineeringUniversity of FloridaGainesvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61313-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-61312-3
  • Online ISBN 978-3-319-61313-0
  • Series Print ISSN 1931-6828
  • Series Online ISSN 1931-6836
  • Buy this book on publisher's site