An ontology-driven approach to support wireless network monitoring for home area networks

Yuqian Song, John Keeney, Owen Conlan, Philip Perry, Adriana Hava

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

4 Citations (Scopus)

Abstract

Supporting ordinary home users to diagnose and resolve potential problems in their home wireless networks presents a significant opportunity to reduce support costs and increase user satisfaction. However the raw data necessary to identify even simple issues, such as a device being out of wireless range, require specific expertise to interpret. This paper introduces an approach for expert-derived semantic annotation of this raw data in order to allow end users to understand and resolve common network-related problems in real time. This approach demonstrates how semantic web technologies and visualization may be combined to satisfy high-level network monitoring requirements. This semantic approach, with causal reasoning, coupled with semantically-derived visualizations was implemented in a prototype home network monitoring system (HANMS). This paper describes the design decisions, implementation details and evaluation approach of HANMS.

Original languageEnglish
Title of host publication2011 7th International Conference on Network and Service Management, CNSM 2011
Publication statusPublished - 1 Dec 2011
Event2011 7th International Conference on Network and Service Management, CNSM 2011 - Paris, France
Duration: 24 Oct 201128 Oct 2011

Conference

Conference2011 7th International Conference on Network and Service Management, CNSM 2011
CountryFrance
CityParis
Period24/10/1128/10/11

Keywords

  • home network
  • network monitoring
  • ontology
  • semantic enhancement
  • visualization

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