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17 March 2008 Predictive control and resource management of a distributed coastal monitoring sensor network
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Abstract
A novel model predictive control (MPC) technique is used as a general framework for resource management in sensor networks. The MPC formulation adapts the sensor network system parameters that impact the energy consumption rate (such as sensor sampling rates) to variations in the criticality of the phenomenon being monitored. This approach is illustrated using two examples. The first is based on a sensor network where the data is temporal in nature. The second is based on an coastal environment monitoring network where the data is spatiotemporal in nature and event criticality shows variation in both space and time. Simulation results from both these applications are presented that demonstrate the functioning of the proposed predictive controller in sensor network control.
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Ashit Talukder and Anand Panangadan "Predictive control and resource management of a distributed coastal monitoring sensor network", Proc. SPIE 6977, Optical Pattern Recognition XIX, 69770Q (17 March 2008); https://doi.org/10.1117/12.785897
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