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Titlebook: Wireless Sensor Networks; Third European Works Kay Römer,Holger Karl,Friedemann Mattern Conference proceedings 2006 Springer-Verlag Berlin

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Transforming Protocol Specifications for Wireless Sensor Networks into Efficient Embedded System Impplementations for resource-constrained wireless sensor nodes. We will show how SDL concepts such as processes, timers, or signals can be mapped to operating system concepts provided by the Reflex operating system. Our approach is based on optimized, automatically generated C code derived from the Te
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Extending Network Lifetime Using an Automatically Tuned Energy-Aware MAC Protocolconsequently consume different amounts of energy. Nodes with heavier communication burdens prematurely deplete their batteries and potentially partition the network such that other nodes are unable to communicate despite having energy remaining. We have developed ., an asynchronous and asymmetric MA
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Conference proceedings 2006 ETH Zurich from February 13 to 15, 2006. Its objective was to present, discuss, and explore the latest technical developments in the ?eld of wireless sensor networks, as well as potential future directions. Wireless sensor networks provide a bridge between traditional information systems and the ph
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0302-9743 k place at ETH Zurich from February 13 to 15, 2006. Its objective was to present, discuss, and explore the latest technical developments in the ?eld of wireless sensor networks, as well as potential future directions. Wireless sensor networks provide a bridge between traditional information systems
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PAQ: Time Series Forecasting for Approximate Query Answering in Sensor Networkshat this approach can dramatically reduce the amount of communication required to monitor the readings of all sensors in a network, and demonstrate that our approach provides provably-correct, user-controllable error bounds on the predicted values of each sensor.
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Sensor Density for Complete Information Coverage in Wireless Sensor Networks complete information coverage of a field are analyzed and simulated for a random sensor deployment. Our results show that significant savings in terms of sensor density can be achieved with information coverage.
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