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Titlebook: Distributed Computing in Sensor Systems; 5th IEEE Internation Bhaskar Krishnamachari,Subhash Suri,Urbashi Mitra Conference proceedings 2009

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樓主: 惡化
51#
發(fā)表于 2025-3-30 08:21:51 | 只看該作者
The Turing Hierarchy of Unsolvability a technique inspired by continuous speech recognition that combines segmentation and classification using Hidden Markov Models. This technique is distributed and only involves limited data sharing between sensor nodes. We show the results of this technique and the bandwidth savings over full data transmission.
52#
發(fā)表于 2025-3-30 14:12:36 | 只看該作者
53#
發(fā)表于 2025-3-30 19:02:21 | 只看該作者
54#
發(fā)表于 2025-3-31 00:41:40 | 只看該作者
Detection and Localization Sensor Assignment with Exact and Fuzzy Locations,reviously studied in simplified models in which utility from multiple sensors is assumed to combine additively. In this paper we study more complex utility models, focusing on two particular applications: event detection and target localization. We develop distributed algorithms to assign directiona
55#
發(fā)表于 2025-3-31 03:02:42 | 只看該作者
56#
發(fā)表于 2025-3-31 05:01:27 | 只看該作者
Optimal Rate Allocation of Compressed Data Streams in Multihop Sensor Networks,a streams in wireless multihop sensor networks is presented. Compact, necessary and sufficient closed-form solution to the optimal rate allocation problem is derived based on the lower rate approximation of rate distortion function. Extensive simulations were conducted using real-world data traces,
57#
發(fā)表于 2025-3-31 12:16:39 | 只看該作者
Mote-Based Online Anomaly Detection Using Echo State Networks,e relevance and correctness of the collected data. In this work we unify fault and event detection under a general . framework. We use machine learning techniques to classify measurements that resemble a training set as . and measurements that significantly deviate from that set as .. Furthermore, w
58#
發(fā)表于 2025-3-31 13:44:48 | 只看該作者
Adaptive In-Network Processing for Bandwidth and Energy Constrained Mission-Oriented Multi-hop Wireverhead. In many tactical and stream-oriented wireless network applications, both link bandwidth and node energy are critically constrained resources and in-network processing itself imposes non-negligible computing cost. In this work, we have developed a unified and distributed closed-loop control
59#
發(fā)表于 2025-3-31 19:24:06 | 只看該作者
60#
發(fā)表于 2025-3-31 23:08:35 | 只看該作者
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