Efficient energy management and data recovery in sensor networks using latent variables based tensor factorization-Reference-Cited by-同舟云学术

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Efficient energy management and data recovery in sensor networks using latent variables based tensor factorization

Published:2013-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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Author:

Milosevic Bojan¹,Yang Jinseok²,Verma Nakul²,Tilak Sameer S.³,Zappi Piero⁴,Farella Elisabetta¹,Benini Luca¹,Simunic Rosing Tajana³

Affiliation:

1. University of Bologna, Bologna, Italy

2. University of California at San Diego, La Jolla, CA, USA

3. University of California at San Diego, La Jolla, CAUSA

4. Qualcomm Inc., San Diego, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2507924.2507953

Reference26 articles.

1. 3ENCULT. www.3encult.eu/en/casestudies/. 3ENCULT. www.3encult.eu/en/casestudies/.

2. Unsupervised Multiway Data Analysis: A Literature Survey

3. Distributed Compressive Sampling for Lifetime Optimization in Dense Wireless Sensor Networks

4. Design Considerations for Ultra-Low Energy Wireless Microsensor Nodes

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy-aware and quality-driven sensor management for green mobile crowd sensing;Journal of Network and Computer Applications;2016-01

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