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erage desired by the application developer is guaranteed with high probability. In the ATaG model, the selection of sensors could effectively translate into the selection of a set of nodes on which the sensing tasks (which are abstract tasks in the graphs) will be instantiated. The job of the compiler in this case is to interpret the high-level intent of the programmer as specified through suitably defined task annotations and assign the sensing tasks to a particular set of nodes. The algorithm used to select this set of nodes will reflect the quality of the compilation by affecting the communication and computation cost that is engendered in the deployment. The choice of the Generic Modeling Enviornment (GME) for providing the visual programming interface as well as integrating the different tools for software synthesis, simulation, etc., is particularly felicitous from the perspective of the compilation problem. GME allows plug-and-play integration of software components called model interpreters. Each model interpreter, when invoked, can access all information about the current model which, in our domain, includes the library of behaviors, deployments, and the application to be synthesized. A model interpreter for synthesizing the code skeletons for abstract tasks and data items inspects the YO relationships between tasks and data to generate the suitable get (1 or put (1 calls, the names of the tasks and data items to generate the names of the java classes, and the firing rules for the abstract tasks to generate a suitably timed loop for periodic execution if specified by the firing rule. Other model interpreters will read the model information relevant to their own specific function. The compiler is just another (set of) model interpreter that reads the relevant annotations from the model database and performs the appropriate transformations either on the model itself or on external objects such as the DART code for a particular node. This flexibility also makes it possible for the same programming environment to seamlessly support a set of compilers and software synthesizers, each for a different target platform. In summary, the contribution of ATaG is the definition of an extensible language, runtime system, and compilation framework that can be tailored to different application domains, network architectures, performance metrics, and sensor node platforms, depending on the requirements of the end user. The work described in this document is a specific instance of this general framework.
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Architecture-lndependent Programming for Wireless Sensor Networks By Amol B. Bakshi, Viktor K. Prasanna Copyright @ 2008 John Wiley & Sons, Inc.
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2005. 15. J. Elson and D. Estrin. Time synchronization in wireless sensor networks. In Znternational Parallel and Distributed Processing Symposium (IPDPS), Workshop on Parallel and Distributed Computing Issues in Wirelessand Mobile Computing, April 2001.
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16. J. Elson, L. Girod, and D. Estrin. Fine-grained network time synchronization using reference broadcasts. In Proc. of the Fifrh Symposium on Operating Systems Design and Implementation (OSDI), December 2002. 17. D. Estrin, D. Culler, K. Pister, and G. Sukhatme. Connecting the physical world with pervasive networks. IEEE Pervasive Computing, pages 5949,2002.
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