Epidemic algorithms for replicated database maintenance
PODC '87 Proceedings of the sixth annual ACM Symposium on Principles of distributed computing
An epidemic model for information diffusion in MANETs
MSWiM '02 Proceedings of the 5th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Understanding and Using Context
Personal and Ubiquitous Computing
Collaborative Context Recognition for Handheld Devices
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Spatial gossip and resource location protocols
Journal of the ACM (JACM)
Three applications for mobile epidemic algorithms
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
Context Awareness in Mobile Computing Environments
Wireless Personal Communications: An International Journal
Situational computing: An innovative architecture with imprecise reasoning
Journal of Systems and Software
A comparison of epidemic algorithms in wireless sensor networks
Computer Communications
A framework for fuzzy recognition technology
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Spatial-temporal modeling of malware propagation in networks
IEEE Transactions on Neural Networks
An analytical model for multi-epidemic information dissemination
Journal of Parallel and Distributed Computing
Delay-tolerant delivery of quality information in ad hoc networks
Journal of Parallel and Distributed Computing
Optimal, quality-aware scheduling of data consumption in mobile ad hoc networks
Journal of Parallel and Distributed Computing
An adaptive epidemic information dissemination model for wireless sensor networks
Pervasive and Mobile Computing
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Pervasive Computing Research Group, Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilissia, 15784, Athens, Greece. We investigate the very important concept of collaborative context awareness. Applications operating in nodes with spatial proximity and network connectivity exchange the contextual information (context) captured by their sensors (or other similar data sources). Such scheme improves the characteristics of the context aware application (e.g., robustness). The exchange of context in our model is progressed beyond a simple flooding scheme. We adopt an epidemic model, which relays information in a stochastic manner. In our model, nodes have a reasoning capability, which can further process and transform the incoming context. The derived context can be relayed throughout the network. This multi-epidemic model relies on semantic dependencies, which are modeled through a hierarchical representation scheme. We investigate the efficiency of the proposed architecture in light of different spreading parameters. Our simulations take into account the temporal validity of the exchanged context (i.e., relayed information remains valid for a certain period of time), the status of the sensing elements and the mobility of nodes. Our findings are quite promising for the emerging area of context aware application engineering.