MiddleWhere: a middleware for location awareness in ubiquitous computing applications
Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
P3 Systems: Putting the Place Back into Social Networks
IEEE Internet Computing
Data-centric middleware for context-aware pervasive computing
Pervasive and Mobile Computing
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Mobeyes: smart mobs for urban monitoring with a vehicular sensor network
IEEE Wireless Communications
Supporting context-aware mobile applications: an infrastructure approach
IEEE Communications Magazine
Multihop Ad Hoc Networking: The Reality
IEEE Communications Magazine
IEEE Network: The Magazine of Global Internetworking
Self-adaptive and time-constrained data distribution paths for emergency response scenarios
Proceedings of the 8th ACM international workshop on Mobility management and wireless access
A survey of context data distribution for mobile ubiquitous systems
ACM Computing Surveys (CSUR)
Network aware dynamic context subscription management
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The capability to gather and timely deliver any relevant information useful in service-provisioning environments, typically called context data, is increasingly recognized as a core function of modern ubiquitous and mobile systems. However, notwithstanding the large amount of literature on context modeling and representation, much work is to be done in obtaining context data distribution and retrieval with guaranteed quality levels. This paper offers three main contributions along that direction. First, it proposes a simple way to specify context data distribution requirements: these objectives called context data distribution level agreement (CDDLA) focus mainly differentiated priorities, quality metrics, and delivery delay. Second, it presents how to translate CDDLA into a set of system-level parameters to drive the infrastructure configuration. Third, it describes our novel infrastructure for quality-aware context data distribution in mobile and wireless wide-area environments. The paper reports some experimental results to point out how our solution can grant context data dissemination with required quality, while achieving overall system scalability.