AndroCon

an Android-based context-aware middleware framework for data provisioning

Jian Yu, Quan Z. Sheng, Wei Qi Yan, Chris Wang, Olayinka Adeleye

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Mobile devices have become major sources of context-aware data due to their ubiquity and sensing capabilities. However, deploying mobile devices as dynamic, unabridged context data provider either locally or remotely is still challenging due to their limited computing capability. Furthermore, integrating physical sensor data with social context data from online social networks is necessary for rich context data provisioning. In this paper, we present AndroCon, an Android-based context-aware middleware framework that enables mobile devices to acquire, integrate, manage, and provision context data. We have applied AndroCon to manage social and physical context data from various sources and have evaluated its performance in terms of power consumption and CPU utilization.

Original languageEnglish
Title of host publicationProceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems
Subtitle of host publicationComputing, Networking and Services, MobiQuitous 2017
PublisherAssociation for Computing Machinery
Pages531-532
Number of pages2
ISBN (Print)9781450353687
DOIs
Publication statusPublished - 7 Nov 2017
EventEAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (14th : 2017) - Melbourne, Australia
Duration: 7 Nov 201710 Nov 2017

Conference

ConferenceEAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (14th : 2017)
Abbreviated titleMobiQuitous 2017
CountryAustralia
CityMelbourne
Period7/11/1710/11/17

Keywords

  • Android
  • Context-awareness
  • Data provisioning
  • Integration
  • Middleware

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