Wishbone: Profile-Based Partitioning for Sensor net Applications

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Executive Summary

The ability to partition sensor network application code across sensor nodes and back-end servers is important for running complex, data-intensive applications on sensor platforms that have CPU, energy, and bandwidth limitations. This paper presents Wishbone, a system that takes a data flow graph of operators and produces an optimal partitioning. With Wishbone, users can run the same program on a range of sensor platforms, including Tiny OS motes, smart phones running JavaME, and the iPhone. The resulting program partitioning will in general be different in each case, reflecting the different node capabilities. Wishbone uses profiling to determine how each operator in the data flow graph will actually perform on sample data, without requiring cumbersome user annotations.

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