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Showing results for LiMouSine: live monitoring in dynamic sensor networks.
Abstract. We present LiMoSense, a fault-tolerant live monitoring algo- rithm for dynamic sensor networks. This is the first asynchronous robust.
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dynamic sensor networks. This is the first asynchronous robust average aggrega- tion algorithm that performs live monitoring, i.e., it constantly obtains a ...
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Abstract. We present LiMoSense, a fault-tolerant live monitoring algorithm for dynamic sensor net- works. LiMoSense uses gossip to dynamically track and ...
Missing: LiMouSine: | Show results with:LiMouSine:
Apr 7, 2013 · Abstract We present LiMoSense, a fault-tolerant live mon- itoring algorithm for dynamic sensor networks. This is the.
Missing: LiMouSine: | Show results with:LiMouSine:
LiMoSense uses gossip to dynamically track and aggregate a large collection of ever-changing sensor reads. It overcomes message loss, node failures and ...
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May 17, 2021 · This paper proposes a limo-powered crowd monitoring system for modeling dynamic crowds. On one hand, limo-system realizes life modeling at the ...
Missing: live networks.
This paper proposes a limo-powered crowd monitoring system for modeling dynamic crowds. On one hand, limo-system realizes life modeling at the individual level, ...
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This system mainly contains multi-sensors and an intelligent-fabric data-based net- work, edge nodes of information cognition, intelligent remote cloud database ...
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In this paper, we study the issue of collaborative query processing among multiple heterogeneous sensor networks and formulate it into an optimization problem ...