Nonuniform compressive sensing for heterogeneous wireless sensor networks

Shen, Yiran and Hu, Wen and Rana, Rajib and Chou, Chun Tung (2013) Nonuniform compressive sensing for heterogeneous wireless sensor networks. IEEE Sensors Journal, 13 (6). pp. 2120-2128. ISSN 1530-437X

Abstract

In this paper, we consider the problem of using wireless sensor networks (WSNs) to measure the temporal-spatial profile of some physical phenomena. We base our work on two observations. First, most physical phenomena are compressible in some transform domain basis. Second, most WSNs have some form of heterogeneity. Given these two observations, we propose a nonuniform compressive sensing method to improve the performance of WSNs by exploiting both compressibility and heterogeneity. We apply our proposed method to real WSN data sets. We find that our method can provide a more accurate temporal-spatial profile for a given energy budget compared with other sampling methods.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Institute for Resilient Regions
Date Deposited: 05 Apr 2016 06:30
Last Modified: 27 Mar 2017 23:57
Uncontrolled Keywords: compressive sensing (CS); heterogeneity; nonuniformal sampling; sample schedule; wireless sensor networks
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
08 Information and Computing Sciences > 0805 Distributed Computing > 080504 Ubiquitous Computing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/JSEN.2013.2248253
URI: http://eprints.usq.edu.au/id/eprint/28906

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