Supporting smart-city mobility with cognitive internet of things

Andrey Somov, Corentin Dupont, Raffaele Giaffreda

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

41 Citations (Scopus)

Abstract

A Wireless Sensor Network (WSN) is a key data provider for the Internet of Things (IoT). A WSN can serve as a tool for both identification and data generation. However, due to its inherent resource limitation the WSNs cannot generate and transmit large data streams and, therefore, typically transmit raw and simple sensor values. Furthermore, the sensors usually transmit their data in proprietary formats to an embedded application. This can be enough for WSN control and monitoring applications, but is not enough for the IoT where it is expected that thousands of different objects belonging to different context will be accessed remotely. In this work we propose to create a virtual representation of real objects (sensors) with a corresponding Virtual Object (VO) model. This VO produces not solely a stream of raw sensor measurements, but enriches those with context information. We evaluate our approach using a real city-scale traffic monitoring sensor network deployed in the city of Enschede, the Netherlands.

Original languageEnglish
Title of host publication2013 Future Network and Mobile Summit, FutureNetworkSummit 2013
Publication statusPublished - 2013
Externally publishedYes
Event2013 Future Network and Mobile Summit, FutureNetworkSummit 2013 - Lisbon, Portugal
Duration: 3 Jul 20135 Jul 2013

Publication series

Name2013 Future Network and Mobile Summit, FutureNetworkSummit 2013

Conference

Conference2013 Future Network and Mobile Summit, FutureNetworkSummit 2013
Country/TerritoryPortugal
CityLisbon
Period3/07/135/07/13

Keywords

  • Internet of Things (IoT)
  • Resource Description Framework (RDF)
  • Smart city
  • Traffic monitoring

Fingerprint

Dive into the research topics of 'Supporting smart-city mobility with cognitive internet of things'. Together they form a unique fingerprint.

Cite this