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Optimization of sensor networks relies on accurate profiling information collected about the state of individual nodes and the network as a whole. A single fixed profiling methodology may incur significant overheads on the sensor network or produce inaccurate profiling results due to dynamic changes in application behavior at runtime. Alternatively, reconfiguring the profiling methodology at runtime...
As sensor networks are finding widespread use across many applications, designers increasingly must not only focus on application development, but also on sensor network optimizations. Given the complexities of sensor networks and the difficulty of analyzing the long-term effects of design changes within a deployed system, simulation is often the only feasible option for evaluating such optimizations...
To reduce the complexity associated with application-specific tuning of sensor-based systems, dynamic profiling enables an accurate view of the application behavior, such that the network can be reoptimized at runtime in response to changing application behavior or environmental conditions. However, dynamic profiling must be able to accurately capture application behavior without incurring significant...
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