Sensors 2014, 14(5), 8330-8349; doi:10.3390/s140508330
Article

An Adaptive Data Collection Algorithm Based on a Bayesian Compressed Sensing Framework

* email, email and email
Received: 2 March 2014; in revised form: 23 April 2014 / Accepted: 28 April 2014 / Published: 9 May 2014
(This article belongs to the Section Sensor Networks)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: For Wireless Sensor Networks, energy efficiency is always a key consideration in system design. Compressed sensing is a new theory which has promising prospects in WSNs. However, how to construct a sparse projection matrix is a problem. In this paper, based on a Bayesian compressed sensing framework, a new adaptive algorithm which can integrate routing and data collection is proposed. By introducing new target node selection metrics, embedding the routing structure and maximizing the differential entropy for each collection round, an adaptive projection vector is constructed. Simulations show that compared to reference algorithms, the proposed algorithm can decrease computation complexity and improve energy efficiency.
Keywords: Bayesian compressed sensing; routing structure; wireless sensor networks
PDF Full-text Download PDF Full-Text [574 KB, uploaded 21 June 2014 14:29 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Liu, Z.; Zhang, M.; Cui, J. An Adaptive Data Collection Algorithm Based on a Bayesian Compressed Sensing Framework. Sensors 2014, 14, 8330-8349.

AMA Style

Liu Z, Zhang M, Cui J. An Adaptive Data Collection Algorithm Based on a Bayesian Compressed Sensing Framework. Sensors. 2014; 14(5):8330-8349.

Chicago/Turabian Style

Liu, Zhi; Zhang, Mengmeng; Cui, Jian. 2014. "An Adaptive Data Collection Algorithm Based on a Bayesian Compressed Sensing Framework." Sensors 14, no. 5: 8330-8349.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert