CONTEXT MANAGEMENT: TOWARD ASSESSING QUALITY OF CONTEXT PARAMETERS IN A UBIQUITOUS AMBIENT ASSISTED LIVING ENVIRONMENT

Nazario, Debora Cabral; Dantas, Mario Antonio Ribeiro; Todesco, Jose Leomar

doi:10.4301/S1807-17752014000300004

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ARTICLES • JISTEM J.Inf.Syst. Technol. Manag. 11 (3) • Dec 2014 • https://doi.org/10.4301/S1807-17752014000300004 copy

CONTEXT MANAGEMENT: TOWARD ASSESSING QUALITY OF CONTEXT PARAMETERS IN A UBIQUITOUS AMBIENT ASSISTED LIVING ENVIRONMENT

Authorship SCIMAGO INSTITUTIONS RANKINGS

This paper provides an approach to assessing Quality of Context (QoC) parameters in a ubiquitous Ambient Assisted Living (AAL) environment. Initially, the study presents a literature review on QoC, generating taxonomy. Then it introduces the context management architecture used. The proposal is verified with the Siafu simulator in an AAL scenario where the user’s health is monitored with information about blood pressure, heart rate and body temperature. Considering some parameters, the proposed QoC assessment allows verifying the extent to which the context information is up-to-date, valid, accurate, complete and significant. The implementation of this proposal might mean a big social impact and a technological innovation applied to AAL, at the disposal and support of a significant number of individuals such as elderly or sick people, and with a more precise technology.

Quality of Context; Ubiquitous Computing; Ambient Assisted Living; Health; Technological Innovation

T	Tp	Ac	R	LR	U	C	P	Cm	S	QoC
56	T	37.5	-	34.5	0	1	0.93	0	1	0.48
57	T	37.6	36.6	36.6	1	1	0.97	1	0	0.99
101	T	38.7	37.9	37,9	1	1	0.98	1	1	0.99
105	P	120	104	104	1	1	0.87	1	0	0,97
138	DP	90	86	86	1	1	0.95	1	0	0.99
138	SP	136	129	129	1	1	0.95	1	0	0.99
150	DP	76	48	48	1	0	0.63	1	0	0.66
150	SP	114	72	72	1	0	0.63	1	0	0.66

TECSI Laboratório de Tecnologia e Sistemas de Informação - FEA/USP Av. Prof. Luciano Gualberto, 908 FEA 3, 05508-900 - São Paulo/SP Brasil, Tel.: +55 11 2648 6389, +55 11 2648 6364 - São Paulo - SP - Brazil
E-mail: jistemusp@gmail.com

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[1] Address for correspondence / Endereço para correspondência Débora Cabral Nazario, Federal University of Santa Catarina - UFSC - Florianopolis, Santa Catarina, BrazilSanta Catarina State University – UDESC - Joinville, Santa Catarina, Brazil E-mail: debora.nazario@udesc.br Mário Antônio Ribeiro Dantas, Federal University of Santa Catarina - UFSC - Florianopolis, Santa Catarina, Brazil E-mail:mario.dantas@ufsc.br José Leomar Todesco, Federal University of Santa Catarina - UFSC - Florianopolis, Santa Catarina, Brazil E-mail: tite@egc.ufsc.br

Smart Home	Reference	Description	Note
	M. C. Huebscher and J. A. McCann, (Huebscher & McCann, 2004Huebscher, M. C., & McCann, J. A. (2004). Adaptive middleware for context-aware applications in smart-homes. In Workshop on Middleware for Pervasive and Ad-Hoc Computing (pp. 111-116). Toronto, Canada: ACM.)	The study defines some QoC parameters, and illustrates this with a smart home scenario;	QoC is not the focus of the study;
	E. Kim and J. Choi, (E. Kim & Choi, 2006)Kim, E., & Choi, J. (2006). An ontology-based context model in a smart home. Computational Science and Its Applications-ICCSA: LNCS, 3983, 11-20.	Presents a context model based on ontology in a ubiquitous computing environment, in the domain of a home;	This model does not comprise QoC;
	J. Park, M. Moon, S. Hwang, and K. Yeom, (Park, Moon, Hwang, & Yeom, 2007)	Presents a context-sensitive simulation system called CASS which generates the context information associated with virtual sensors and virtual devices in a smart home domain;	Does not use QoC;
	N. Brgulja, R. Kusber, K. David, and M. Baumgarten, (Brgulja et al., 2009)Brgulja, N., Kusber, R., David, K., & Baumgarten, M. (2009). Measuring the Probability of Correctness of Contextual Information in Context Aware Systems. In Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing (pp. 246-253). IEEE.	Applies the method CPM (Context Pattern Method) to calculate the probability of correctness (QoC dimension);	Simulates a smart home environment with Siafu;
	I. Roussaki, N. Liampotis, N. Kalatzis, K. Frank, and P. Hayden, (Roussaki et al., 2009)Roussaki, I., Liampotis, N., Kalatzis, N., Frank, K., & Hayden, P. (2009). How to make Personal Smart Spaces Context-aware. In PERSIST Workshop on Intelligent Pervasive Environments (pp. 26-32).	Uses the captured context for personalized service of a smart home environment;	Does not provide details for QoC;
	M. A. Hossain, A. A. N. Shirehjini, A. S. Alghamdi, and A. Saddik, (Hossain et al., 2012)Hossain, M. A., Shirehjini, A. A. N., Alghamdi, A. S., & Saddik, A. (2012). Adaptive interaction support in ambient-aware environments based on quality of context information. In Multimedia Tools and Applications (pp. 1-24).	Proposes a novel interaction mechanism that considers quality of context information in order to dynamically adjust the level of implicit interaction in the context of an ambient multimedia system;	Simulates a smart home environment;
Health	H. Hegering and C. Linnhoff-Popien, (Hegering & Linnhoff-Popien, 2003)Hegering, H., & Linnhoff-Popien, C. (2003). Management challenges of context-aware services in ubiquitous environments.Self-Managing Distributed Systems: Lecture Notes in Computer Science, 2867, 321-339.	Introduces the application scenario Medical Advice and Emergency System, focusing on challenges;	Suggests QoC as further research;
	I. Widya, B. Beijnum, and A. Salden, (Widya et al., 2006)Widya, I., Beijnum, B., & Salden, A. (2006). QoC-based Optimization of End-to-End M-Health Data Delivery Services. In 14th IEEE International Workshop on Quality of Service (pp. 252-260). Ieee.	Develops a QoC algebraic model with dimensions of newness, availability and cost, and illustrates with a mobile healthcare service;	This model does not use ontology, and offers no details on its implementation;
	K. Sheikh, M. Wegdam, and M. Van Sinderen, (Sheikh et al., 2008)Sheikh, K., Wegdam, M., & Sinderen, M. Van. (2008). Quality-of-Context and its use for Protecting Privacy in Context Aware Systems.Journal of Software, 3(3), 83-93.	Describes the quantification of some QoC parameters and proposes a framework with privacy policies based on QoC applied to a health telemonitoring scenario;	Does not use ontology;
	H. M. P. Teixeira, C. C. da Rocha, J. L. Todesco, M. A. R. Dantas, and M. A. Bauer, (Teixeira, Rocha, Todesco, Dantas, & Bauer, 2009)	Describes the use of ontology techniques and semantic cache for a mobile emergency medical assistance system;	Does not use QoC;
	J. McNaull, J. C. Augusto, M. Mulvenna, and P. McCullagh, (McNaull et al., 2012)McNaull, J., Augusto, J. C., Mulvenna, M., & McCullagh, P. (2012). Data and Information Quality Issues in Ambient Assisted Living Systems.Journal of Data and Information Quality,4(1), 1-15.	Develops a conceptual model of AAL system layers and an example of AAL system architecture, discussing the importance of QoC in this domain;	It is only a conceptual model;
	N. Roy, S. K. Das, and C. Julien, (Roy et al., 2012)Roy, N., Das, S. K., & Julien, C. (2012). Resource-Optimized Quality-Assured Ambiguous Context Mediation Framework in Pervasive Environments.IEEE Transactions on Mobile Computing,11(2), 218-229.	Presents a framework to support ambiguous context based on dynamic Bayesian networks; uses the QoC parameteraccuracy, and addresses health care;	Uses sunspot sensors;
GPS	C. Silva and M. A. R. Dantas, (Silva & Dantas, 2013)Silva, C., & Dantas, M. A. R. (2013). A context-aware approach on semantic trajectories. In The 25th International Conference on Software Engineering and Knowledge Engineering (pp. 435-440). Boston - USA.	Proposes an approach that eliminates redundancies and inconsistencies based on the QoC policy adopted, assessingaccuracy, distance and time. GPS devices are used, and reduction of battery consumption is verified;	Does not use ontology;