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Titlebook: Distributed Computing in Sensor Systems; Second IEEE Internat Phillip B. Gibbons,Tarek Abdelzaher,Ramesh Rao Conference proceedings 2006 Sp

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Distributed Optimal Estimation from Relative Measurements for Localization and Time Synchronizationed, asynchronous, robust to temporary communication failures, and is guaranteed to converges to the optimal estimate even with temporary communication failures. Simulations for a realistic example show that the algorithm can reduce energy consumption by a factor of two compared to previous algorithms, while achieving the same accuracy.
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When Birds Die: Making Population Protocols Fault-Tolerant,e of halting and transient failures, provided preconditions on the inputs are added so that the failures cannot immediately obscure enough of the inputs to change the outcome. We do this by giving a general-purpose transformation that makes any algorithm for the fault-free setting tolerant to failures.
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Conference proceedings 2006San Francisco, California, USA in June 2006...The 33 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers focus on distributed computing issues in large-scale networked sensor systems, including systematic design techniques and tools; they cover topics s
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Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks,ation also includes an actuator network, it is advantageous to determine actions in-network. In such settings, optimizing the sensor node behavior with respect to sensor information fidelity does not necessarily translate into optimum behavior in terms of action fidelity. Inspired by neural systems,
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Stabilizing Consensus in Mobile Networks,lly decentralized and highly dynamic ad hoc systems. Stabilizing consensus requires non-faulty nodes to eventually agree on one of their inputs, but individual nodes do not necessarily know when agreement is reached. First we show that, similar to the original consensus problem in the synchronous mo
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