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Contiki之父Adam Dunkels经典论文
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We make the case for a sensor network model in which each mote stores sensor data locally， and provides a database query interface to the data. Unlike TinyDB and Cougar， in which a sink node provides a database-like front end for fil-tering the current sensor values from a data collection net-work， we propose that each sensor device should run its own database system. We present Antelope， a database man-agement system for resource-constrained sensors. Antelope provides a dynamic database system that enables run-time creation and deletion of databases and indexes. Antelope uses energy-efficient indexing techniques that significantly improve the performance of queries. The energy cost of a query that selects 100 tuples is less than the cost of a sin-gle packet transmission. Moving forward， we believe that database techniques will be increasingly important in many emerging applications.
Over the last years， low-power flash memory has both rapidly decreased in cost and rapidly increased in storage ca-pacity. For sensor nodes， today’s flash memories can， for most practical purposes， be considered infinite： nodes will run out of battery before running out of storage space. We argue that this opens for a new sensor network model， where nodes store their data in a local flash storage and provide
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