Please use this identifier to cite or link to this item:
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Exploring conflicts in rule-based Sensor Networks
Author(s): Magill, Evan
Blum, Jesse
Contact Email:
Keywords: Rule-based systems
Run-time programming
Feature interactions
Rule conflict
Issue Date: Apr-2016
Date Deposited: 4-May-2016
Citation: Magill E & Blum J (2016) Exploring conflicts in rule-based Sensor Networks. Pervasive and Mobile Computing, 27, pp. 133-154.
Abstract: This paper addresses rule conflicts within wireless sensor networks. The work is situatedwithin psychiatric ambulatory assessment settings where patients are monitored in andaround their homes. Detecting behaviours within these settings favours sensor networks,while scalability and resource concerns favour processing data on smart nodes incorporatingrule engines. Such monitoring involves personalisation, thereby becoming important toprogram node rules on the fly. Since rules may originate from distinct sources and changeover time, methods are required to maintain rule consistency. Drawing on lessons fromFeature Interaction, the paper contributes novel approaches for detecting and resolving rule-conflict across sensor networks.
DOI Link: 10.1016/j.pmcj.2015.08.005
Rights: This article is open-access. Open access publishing allows free access to and distribution of published articles where the author retains copyright of their work by employing a Creative Commons attribution licence. Proper attribution of authorship and correct citation details should be given.
Licence URL(s):

Files in This Item:
File Description SizeFormat 
Magill and Blum_PMC_2016.pdfFulltext - Published Version1.76 MBAdobe PDFView/Open

This item is protected by original copyright

A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.