A survey on internet of things enabled smart campus applications

Abdelrahman Abuarqoub, Hesham Abusaimeh, Mohammad Hammoudeh, Diaa Uliyan, Muhannad A. Abu-Hashem, Sharefa Murad, Mudhafar Al-Jarrah, Fayez Al-Fayez

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

70 Citations (Scopus)

Abstract

The fictional future home, workspace or city, as predicted by science TV shows of the 1960s, is now a reality. Modern microelectronics and communication technologies offer the type of smart living that looked practically inconceivable just a few decades ago. The Internet of Things (IoT) is one of the main drivers of the future smart spaces. It enables new operational technologies and offers vital financial and environmental benefits. With IoT, spaces are evolving from being just 'smart' to become intelligent and connected. This survey paper focuses on how to leverage IoT technologies to build a modular approach to smart campuses. The paper identifies the key benefits and motivation behind the development of IoT-enabled campus. Then, it provides a comprehensive view of general types of smart campus applications. Finally, we consider the vital design challenges that should be met to realise a smart campus.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Future Networks and Distributed Systems, ICFNDS 2017
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450348447
DOIs
Publication statusPublished - 19 Jul 2017
Externally publishedYes
Event2017 International Conference on Future Networks and Distributed Systems, ICFNDS 2017 - Cambridge, United Kingdom
Duration: 19 Jul 201720 Jul 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F130522

Conference

Conference2017 International Conference on Future Networks and Distributed Systems, ICFNDS 2017
Country/TerritoryUnited Kingdom
CityCambridge
Period19/07/1720/07/17

Keywords

  • IoT
  • Smart buildings
  • Smart campus
  • Smart grid
  • Smart learning
  • Waste and water management

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