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

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On Education and Public Schoolsient programmer control over the communication behavior of an application; it is designed to ease the burden of writing application-specific communication protocols for efficient, long-lived, fault-tolerant, and scalable applications. While classical network communication methods expect high-reliabi

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Historical Studies in Educationectures are rapidly emerging, as witnessed by wireless sensor and actuator networks (WSANs), and in general by solutions involving multiple data sinks, heterogeneous nodes, and in-network coordination. These settings demand new programming abstractions to tame complexity without sacrificing efficien

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https://doi.org/10.1007/978-1-4612-1720-6, but preemptive multithreading pre-allocates resources that cannot be used even while not in use by the owning thread. In this paper, we propose a hybrid approach called Y-Threads. Y-Threads provide separate small stacks for blocking portions of applications, while allowing for shared stacks for no

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https://doi.org/10.1007/978-3-031-28686-5mation gathering is in terms of interactions between nodes that are . of information, e.g., those that have collected data, detected events, etc., and nodes that are . of information, i.e., nodes that seek data or events of certain types. Our overall goal in this paper is to construct efficient sche

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Oniccah Monimang Motloung,Costa Hofisiset of other sensors. There is no designated fusion center; instead sensors exchange messages on the associated communication graph to obtain a global estimate. We propose an asynchronous distributed algorithm based on local fusion between neighboring sensors. The algorithm differs from other relate