Snoop: an expressive event specification language for active databases
Data & Knowledge Engineering
Maintaining knowledge about temporal intervals
Communications of the ACM
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
Time synchronization in ad hoc networks
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Event Composition in Time-Dependent Distributed Systems
COOPIS '99 Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems
RTAS '98 Proceedings of the Fourth IEEE Real-Time Technology and Applications Symposium
Causality and the spatial-temporal ordering in mobile systems
Mobile Networks and Applications
Composite event detection as a generic middleware extension
IEEE Network: The Magazine of Global Internetworking
Quality management in GPRS networks with fuzzy case-based reasoning
Knowledge-Based Systems
Evaluation of an information service for enhanced multiaccess media delivery
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
Distributed information service architecture for overlapping multiaccess networks
Multimedia Tools and Applications
Unified semantics for event correlation over time and space in hybrid network environments
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
Temporal Event Ordering with Fault Tolerance for Wireless Sensor and Actuator Networks
Wireless Personal Communications: An International Journal
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An event correlation is becoming an important service in event-based middleware allowing subscribers in publish/subscribe paradigm to consume patterns of events (composite events). Recent evolution of wireless networks makes events flow from tiny sensor networks to Internet scale peer-to-peer systems among event broker grids. This new paradigm requires composition of events in heterogeneous network environments, where time synchronization and network conditions vary. Most extant approaches to define event correlation lacks a formal mechanism to define complex temporal relationships among correlated events. Here, we introduce generic composite events semantics introducing interval-based semantics for event detection supporting resource-constrained environments. We precisely define complex timing constraints among correlated event instances. We discuss underlying time systems and outline real-time temporal event ordering.