Evaluation of Dynamic Profiling Methodologies for Optimization of Sensor Networks

摘要

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 runtime overheads. We present several profiling methods for dynamically monitoring sensor-based platforms and analyze the associated network traffic, energy, and code impacts.