In addi- tion, this dramatically reduces storage energy costs relative to communication, introducing a new dimension in tradi- tional computation vs communication trade-offs. Our results demonstrate more than a 100-fold decrease in per-byte en- ergy consumption for surface-mount parallel NAND flash in comparison with the MicaZ on-board serial flash. In this paper, we perform a comprehensive evaluation of the active and sleep-mode energy consumption of available flash-based storage options for sensor platforms. Current flash memories, however, offer a low-priced, high-capacity and ex- tremely energy-efficient storage solution. The storage subsystems on currently avail- able sensor platforms have not exploited technology trends, and consequently the energy cost of storage on these plat- forms is as high as that of communication. While extensive measurement studies have been performed to highlight the trade-off between computation and commu- nication in sensor networks, the role of storage has received little attention. Local storage is required in many sensor network applica- tions, both for archival of detailed event information, as well as to overcome sensor platform memory constraints.
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