Next Article in Journal
Multipath Routing in Wireless Sensor Networks: Survey and Research Challenges
Previous Article in Journal
Aptamers and Their Biological Applications
Previous Article in Special Issue
Modeling and Analysis of an Energy-Efficient Mobility Management Scheme in IP-Based Wireless Networks
Article Menu

Export Article

Open AccessArticle
Sensors 2012, 12(1), 632-649;

Toward Sensor-Based Context Aware Systems

School of Information Environment, Tokyo Denki University, 2-1200 Muzai Gakuendai Inzai, Chiba, 270-1382, Japan
Dipartimento di Tecnologie dell’Informazione, Universitàdegli Studi di Milano, Via Bramante 65, 26013 Crema (CR), Italy
Author to whom correspondence should be addressed.
Received: 12 December 2011 / Revised: 31 December 2011 / Accepted: 3 January 2012 / Published: 9 January 2012
(This article belongs to the Special Issue Selected Papers from FGIT 2010)
Full-Text   |   PDF [363 KB, uploaded 21 June 2014]


This paper proposes a methodology for sensor data interpretation that can combine sensor outputs with contexts represented as sets of annotated business rules. Sensor readings are interpreted to generate events labeled with the appropriate type and level of uncertainty. Then, the appropriate context is selected. Reconciliation of different uncertainty types is achieved by a simple technique that moves uncertainty from events to business rules by generating combs of standard Boolean predicates. Finally, context rules are evaluated together with the events to take a decision. The feasibility of our idea is demonstrated via a case study where a context-reasoning engine has been connected to simulated heartbeat sensors using prerecorded experimental data. We use sensor outputs to identify the proper context of operation of a system and trigger decision-making based on context information. View Full-Text
Keywords: context-based systems; sensor data interpretation; interpretation uncertainty context-based systems; sensor data interpretation; interpretation uncertainty
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Sakurai, Y.; Takada, K.; Anisetti, M.; Bellandi, V.; Ceravolo, P.; Damiani, E.; Tsuruta, S. Toward Sensor-Based Context Aware Systems. Sensors 2012, 12, 632-649.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top