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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Asynchronous Corona Training Protocols in Wireless Sensor and Actor Networks
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Asynchronous Corona Training Protocols in Wireless Sensor and Actor Networks

机译：无线传感器和Actor网络中的异步电晕训练协议

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摘要

Scalable energy-efficient training protocols are proposed for wireless networks consisting of sensors and a single actor, where the sensors are initially anonymous and unaware of their location. The protocols are based on an intuitive coordinate system imposed onto the deployment area, which partitions the sensors into clusters. The protocols are asynchronous, in the sense that the sensors wake up for the first time at random, then alternate between sleep and awake periods both of fixed length, and no explicit synchronization is performed between them and the actor. Theoretical properties are stated under which the training of all the sensors is possible. Moreover, both worst-case and average case analyses of the performance, as well as an experimental evaluation, are presented showing that the protocols are lightweight and flexible.
机译：对于由传感器和单个参与者组成的无线网络，提出了可扩展的节能培训协议，其中传感器最初是匿名的，并且不知道它们的位置。这些协议基于施加到部署区域的直观坐标系，该坐标系将传感器划分为多个群集。协议是异步的，从某种意义上说，传感器是第一次随机唤醒，然后在固定长度的睡眠和唤醒时段之间交替，并且在它们与角色之间未执行任何显式同步。陈述了理论性质，在该理论性质下可以训练所有传感器。此外，还给出了性能的最坏情况和平均情况分析以及实验评估，表明该协议既轻巧又灵活。

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