Intelligent light control using sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Constraint chaining: on energy-efficient continuous monitoring in sensor networks
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Mobile object tracking in wireless sensor networks
Computer Communications
Information Sciences: an International Journal
Energy conservation in wireless sensor networks: A survey
Ad Hoc Networks
EDGES: Efficient data gathering in sensor networks using temporal and spatial correlations
Journal of Systems and Software
Analyzing space-time sensor network data under suppression and failure in transmission
Statistics and Computing
Breath: An Adaptive Protocol for Industrial Control Applications Using Wireless Sensor Networks
IEEE Transactions on Mobile Computing
In-network aggregation techniques for wireless sensor networks: a survey
IEEE Wireless Communications
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Design of control applications over wireless sensor networks (WSNs) is a challenging issue due to the bandwidth-limited communication medium, energy constraints and real-time data delivery requirements. This paper introduces a new information extraction method for WSN-based control applications, which reduces the number of required data transmissions to save energy and avoid data congestion. According to the proposed approach, control applications recognize when new data readings have to be collected and determine sensor nodes that have to be activated on the basis of uncertainty analysis. Processing of the selectively collected input data is based on definition of information granules that describe state of the controlled system as well as performance of particular control decisions. This method was implemented for object tracking in WSNs. The task is to control movement of a mobile sink, which has to reach a target in the shortest possible time. Extensive simulation experiments were performed to compare performance of the proposed approach against state-of-the-art methods. Results of the experiments show that the presented information extraction method allows for substantial reduction in the amount of transmitted data with no significant negative effect on tracking performance.