Mining Temporal Moving Patterns in Object Tracking Sensor Networks
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
Energy efficient strategies for object tracking in sensor networks: A data mining approach
Journal of Systems and Software
Efficient mining and prediction of user behavior patterns in mobile web systems
Information and Software Technology
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Nowadays, path prediction is being extensively examinedfor use in the context of mobile and wireless computingtowards more efficient network resource managementschemes. Path prediction allows the network and servicesto further enhance the quality of service levels that the userenjoys. In this paper we present a path prediction algorithmthat exploits the machine learning algorithm oflearning automata. The decision of the learning automatonis driver by the movement patterns of a single user but isalso affected by the aggregated patterns demonstrated byall users. Simulations of the algorithm, performed using aRealistic Mobility Pattern Generator, show increased predictionaccuracy.