Fusion-based cooperative support identification for compressive networked sensing

This letter proposes a fusion-based cooperative support identification scheme for distributed compressive sparse signal recovery via resource-constrained wireless sensor networks. The proposed support identification protocol involves: (i) local sparse sensing for economizing data gathering and storage, (ii) local binary decision making for partial support knowledge inference, (iii) binary information exchange among active nodes, and (iv) binary data aggregation for support estimation. Then, with the aid of the estimated signal support, a refined local decision is made at each node. Only the measurements of those informative nodes will be sent to the fusion center, which employs a weighted \ell _{1} -minimization for global signal reconstruction. The design of a Bayesian local decision rule is discussed, and the average communication cost is analyzed. Computer simulations are used to illustrate the effectiveness of the proposed scheme.

Compressive sensing, sparse signal recovery, support estimation, wireless sensor networks

10.1109/LWC.2019.2946552

2162-2337

157-161

Yang, Ming Hsun

0b43e64a-a7b1-4fd6-928b-7e307acf0cee

Wu, Jwo Yuh

1c95bdaf-16e4-4c34-85b7-2df0eb2a1c0e

Wang, Tsang Yi

7f1c0642-9107-4096-b255-799aff0b3176

Maunder, Robert

76099323-7d58-4732-a98f-22a662ccba6c

Gau, Rung-Hung

48242953-b2f5-47bd-8279-a888e912aa6c

1 February 2020

Yang, Ming Hsun

0b43e64a-a7b1-4fd6-928b-7e307acf0cee

Wu, Jwo Yuh

1c95bdaf-16e4-4c34-85b7-2df0eb2a1c0e

Wang, Tsang Yi

7f1c0642-9107-4096-b255-799aff0b3176

Maunder, Robert

76099323-7d58-4732-a98f-22a662ccba6c

Gau, Rung-Hung

48242953-b2f5-47bd-8279-a888e912aa6c

Yang, Ming Hsun, Wu, Jwo Yuh, Wang, Tsang Yi, Maunder, Robert and Gau, Rung-Hung (2020) Fusion-based cooperative support identification for compressive networked sensing. IEEE Wireless Communications Letters, 9 (2), 157-161. (doi:10.1109/LWC.2019.2946552).

Record type: Letter

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WCL2019-0085.R1_(Final_version) - Accepted Manuscript

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Accepted/In Press date: 7 October 2019

e-pub ahead of print date: 10 October 2019

Published date: 1 February 2020

Additional Information: Funding Information: Manuscript received July 10, 2019; accepted October 4, 2019. Date of publication October 10, 2019; date of current version February 7, 2020. This work was supported in part by the Ministry of Science and Technology of Taiwan (MOST) under Grant MOST 106-2911-I-110-505, Grant MOST 108-2221-E-009-025-MY3, Grant MOST 108-2634-F-009-002, and Grant MOST 108-2634-F-009-004, and in part by the Royal Society under Grant IE160795. The associate editor coordinating the review of this article and approving it for publication was W. Zhang. (Corresponding author: Jwo-Yuh Wu.) M.-H. Yang, J.-Y. Wu, and R.-H. Gau are with the Institute of Communications Engineering, National Chiao Tung University, Hsinchu 300, Taiwan (e-mail: archenemy.cm00g@nctu.edu.tw; jywu@cc.nctu.edu.tw; runghunggau@g2.nctu.edu.tw). Publisher Copyright: © 2012 IEEE.

Keywords: Compressive sensing, sparse signal recovery, support estimation, wireless sensor networks

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