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Titlebook: Distributed Computing in Sensor Systems; 6th IEEE Internation Rajmohan Rajaraman,Thomas Moscibroda,Anna Scaglion Conference proceedings 201

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Incidence Axiom and Ruler Postulaten the embedded devices. These optimizations are performed on the desktop computer during the linking phase, before transferring the Java binary and the corresponding JVM interpreter onto a mote and thus without burdening its memory or computation resources. We have compared TakaTuka with the Sentilla, Darjeeling and Squawk JVMs.
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Specialized Equipment Facilitiesrithm which can achieve a desired real-time performance constraint while maintaining a thermal limit on temperature at all nodes in a network. Analytical results and experimentation are done for estimation with a Kalman filter for simplicity, but our main contributions should easily extend to any form of estimation with measurable error.
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Facility Design and Physical Containmentle, it reduces redundant transmission via delivery deferring and online forwarder selection. We establish the upper bound of broadcast count and the broadcast latency for a given duty-cycling schedule. We evaluate Hybrid-cast through extensive simulations. The results validate the effectiveness and efficiency of our design.
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Tables: A Spreadsheet-Inspired Programming Model for Sensor Networks,n be used to construct data monitoring, classification, and object tracking applications. We discuss the relative computation, memory, and network overhead imposed by the Tables environment. With this evaluation, we show that the Tables programming environment represents a feasible alternative to existing programming systems.
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Optimized Java Binary and Virtual Machine for Tiny Motes,n the embedded devices. These optimizations are performed on the desktop computer during the linking phase, before transferring the Java binary and the corresponding JVM interpreter onto a mote and thus without burdening its memory or computation resources. We have compared TakaTuka with the Sentilla, Darjeeling and Squawk JVMs.
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ZeroCal: Automatic MAC Protocol Calibration,ing protocol, we validate and demonstrate the effectiveness of ZeroCal on X-MAC. Extensive testbed experiments and simulations indicate that ZeroCal quickly adapts to traffic variations. We further show that ZeroCal extends network lifetime by 50% compared to an optimal configuration with identical and static MAC parameters at all nodes.
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