A goal-oriented programming framework for grid sensor networks with reconfigurable embedded nodes
ACM Transactions on Embedded Computing Systems (TECS)
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Developing powerful paradigms for programming sensor networks is critical to realize the full potential of sensor networks as collaborative data processing engines. %In this article, we motivate and develop a deductive framework for programming sensor networks, extending the prior vision of viewing sensor network as a distributed database. The deductive programming approach is declarative, very expressive, and amenable to automatic optimizations. Such a framework allows users to program sensor network applications at a high-level without worrying about the low-level tedious details. %Our system translates a given deductive program to efficient distributed code that runs on individual nodes. To facilitate the above translation, we develop techniques for {\em distributed and asynchronous} evaluation of deductive programs in sensor networks. Our techniques generalize to recursive programs without negations, arbitrary non-recursive programs with negations, and in general to arbitrary "locally non-recursive'' programs with function symbols. %We present performance results on TOSSIM, a network simulator, and a small network testbed.