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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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Oniccah Monimang Motloung,Costa Hofisi different notions of optimal, i.e. under different cost metrics). However, all these schemes differ from one common failing – they construct an optimal tree for a given . subset of the sensors. In most practical scenarios, the sensor group is continuously and dynamically . – consider for example th
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https://doi.org/10.1007/978-3-030-62796-6uture real sensor network deployment in which sensors may provide users with different services in terms of data and resource access. A centralized access control mechanism requires base station to be involved whenever a user requests to get authenticated and access the information stored in the sen
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Christopher Howe,Kenneth R. Walkere before the next update message arrives, and are sleeping otherwise. Through simulations, we show that our approach can achieve very high source-cache fidelity with low power consumption on many real-life sensor data. On average, our approach consumes 4-5 times less power than GAF [1], and achieves 50% longer network lifetime.
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https://doi.org/10.1007/978-1-4612-1720-6preemptive multithreaded programming model with resource utilization closer to an event-based approach. In addition, relatively large memory buffers can be allocated for temporary use with less overhead than conventional dynamic memory allocation methods.
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Lecture Notes in Electrical Engineeringlications by forwarding data to a decoy sink for aggregation before the aggregated data is forwarded to the real sink from the decoy sink. Combining indirection and data aggregation in our protocol creates more traffic away from the sink and reduces the amount of traffic near the sink, which makes traffic analysis more difficult for attackers.
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Smart Home Surveillance Based on IoTf failures and show that our protocol is very robust. In particular, we implement and evaluate the protocol using large scale simulation, showing that it significantly outperforms well known relevant solutions in the state of the art.
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Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks,n biological systems. Our analysis yields bounds on both absolute and average actuation error that point directly to strategies for limiting sensor communication based not only on local measurements but also on a measure of how important each sensor-actuator link is to the fidelity of the total actuation output.
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