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Titlebook: Distributed Computing in Sensor Systems; Third IEEE Internati James Aspnes,Christian Scheideler,Samuel Madden Conference proceedings 2007 S

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Peter Gentzel,Friedrich Krotz,Rainer Winterhigh reliable individual packet delivery, reduces channel throughput when measured data is reported at high rate. To provide optimal data transport in a sensor network with bursting data generation, we propose a light weight sink centric transport protocol, which maximizes the channel throughput by
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12,000 Miles of Irving’s Audiences (1906)e also present algorithms to dynamically update the cluster association when the network topology changes. Numerical results are given to demonstrate the efficiency and optimality of the proposed approaches. In simulation study, comparing network lifetime, our algorithm outperforms other heuristics
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The Formal Complexity of Natural Languageconfined to small network neighborhoods. In addition, we propose simple extensions to our algorithms to support dynamic networks with varying link qualities and node additions and deletions. Using link quality traces collected from a real sensor network deployment, we demonstrate the effectiveness o
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https://doi.org/10.1007/978-1-349-11719-2nodes as well as an estimate of the costs the running system will incur, e.g., in terms of messages exchanged. We compared the auto-generated code against a hand-coded version for the same application behavior to verify the outcome of our compiler.
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