Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Location Aggregation from Multiple Sources
MDM '02 Proceedings of the Third International Conference on Mobile Data Management
MiddleWhere: a middleware for location awareness in ubiquitous computing applications
Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
Communications of the ACM - The disappearing computer
Middleware Support for Quality of Context in Pervasive Context-Aware Systems
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
On the Evaluation of Quality of Context
EuroSSC '08 Proceedings of the 3rd European Conference on Smart Sensing and Context
LOC8: A Location Model and Extensible Framework for Programming with Location
IEEE Pervasive Computing
Scalable processing of context information with COSMOS
DAIS'07 Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
A framework for quality of context management
QuaCon'09 Proceedings of the 1st international conference on Quality of context
Hybrid context inconsistency resolution for context-aware services
PERCOM '11 Proceedings of the 2011 IEEE International Conference on Pervasive Computing and Communications
Building ubiquitous QoC-aware applications through model-driven software engineering
Science of Computer Programming
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As location-based services on mobile devices are entering more and more everyday life, we are concerned in this paper with finding ways to master the level of quality of location information in order to take relevant decisions. Location being a typical example of context information, we manipulate it using the COSMOS framework that we develop for the management of context data and their associated quality meta-data or quality of context (QoC). We consider several QoC parameters that are important for location and determine how the QoC can help a location aggregator component to identify the current region where a user is located. The mechanisms we propose support a pragmatic approach in which application designers or deployers survey an area to demarcate regions surrounding locations, and application users are localized into these regions and are presented with the quality of the estimate. We report on the experimentation we performed on the campus of our institute collecting information from Wi-Fi, 3G networks and GPS signals, and show the accuracy we obtain at no additional infrastructure cost.