S. K. Wahba, S. Dandamudi, Andrew R. Dalton, J. Hallstrom
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We present the NePTune approach and supporting system architecture for sensor network optimization. NePTune relies on a control loop strategy with performance monitoring, dynamic source code generation, and network reprogramming. We present an application of the system architecture and explore its efficacy in the context of a resource utilization problem - specifically, to minimize the memory consumption of a neighborhood management service. All experiments are conducted using a physical network testbed consisting of 80 Tmote Sky nodes.