Collaborative Sensor Caching via Sequential Compressed Sensing

Yi Jen Yang, Ming Hsun Yang, Y. W.Peter Hong, Jwo-Yuh Wu

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

This work proposes a collaborative sensor caching and data reconstruction method based on the sequential compressed sensing framework. Here, multiple caches are assumed to exist in the wireless sensor network to store the most recent data gathered from sensors within their respective coverage areas. To reduce the cache size and the data-acquisition overhead, each cache accesses measurements only from a small subset of sensors. This work proposes a collaborative sparse-signal reconstruction method that exploits the presence of sensors simultaneously accessible by multiple caches as anchor nodes to introduce dependency in the reconstruction. The reconstruction is based on the use of the alternating direction method of multipliers (ADMM), which enables distributed implementation of the algorithm. Simulations are provided to demonstrate the effectiveness of the proposed scheme.

原文English
主出版物標題2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面4579-4583
頁數5
ISBN(電子)9781479981311
DOIs
出版狀態Published - 1 五月 2019
事件44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
持續時間: 12 五月 201917 五月 2019

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2019-May
ISSN(列印)1520-6149

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
國家United Kingdom
城市Brighton
期間12/05/1917/05/19

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