Automatic consistency assessment for query results in dynamic environments
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Resource discovery with evolving tuples
International workshop on Engineering of software services for pervasive environments: in conjunction with the 6th ESEC/FSE joint meeting
An interrelational grouping abstraction for heterogeneous sensors
ACM Transactions on Sensor Networks (TOSN)
Automated Assessment of Aggregate Query Imprecision in Dynamic Environments
DAIS '09 Proceedings of the 9th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems
Semantic self-assessment of query results in dynamic environments
ACM Transactions on Software Engineering and Methodology (TOSEM)
On demand radio frequency identification based vehicle tracking system
International Journal of Business Information Systems
Middleware for pervasive computing: A survey
Pervasive and Mobile Computing
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As sensor networks are increasingly used to support pervasive computing, we envision an instrumented environment that can provide varying amounts of information to mobile applications immersed within the network. Such a scenario deviates from existing deployments of sensor networks which are often highly application-specific and funnel information to a central collection point. We instead target scenarios in which multiple mobile applications will leverage sensor network nodes opportunistically and unpredictably. Such situations require new communication abstractions that enable immersed devices to interact directly with available sensors, reducing both communication overhead and data latency. This paper introduces scenes, which applications create based on their communication requirements, abstract properties of the underlying network communication, and properties of the physical environment. This paper reports on the communication model, an initial implementation, and its performance in varying scenarios.