Theory of Modeling and Simulation
Theory of Modeling and Simulation
Spatio-temporal correlation: theory and applications for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: In memroy of Olga Casals
Exploring Spatial Correlation for Link Quality Estimation in Wireless Sensor Networks
PERCOM '06 Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications
Spatial correlation-based collaborative medium access control in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Symbiotic Simulation Systems: An Extended Definition Motivated by Symbiosis in Biology
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
A wildland fire model with data assimilation
Mathematics and Computers in Simulation
Towards applications of particle filters in wildfire spread simulation
Proceedings of the 40th Conference on Winter Simulation
State estimation using particle filters in wildfire spread simulation
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
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Dynamic data driven simulation based on Particle Filter (PF) has been shown to increase the accuracy of wildfire spread simulation by assimilating real time sensor data into the simulation. An important issue in dynamic data driven simulation is to utilize the sensor data in an efficient and effective manner. In our previous work, all sensor readings are treated as independent from each other, however, when sensors are randomly deployed, measurement data from nearby sensors could be correlated and thus biased observation could be incurred. This paper presents a spatial correlation model to exploit sensor correlations from sensor spatial locations and inter-distance, and integrate it as part of the PF measurement model. Experiment results show that with the information of sensor correlation simulation accuracy is further increased.