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Mathematical Problems in Engineering - Volume 2014 2014, Article ID 430275, 13 pages -

Research ArticleSchool of Information and Electrical Engineering, Harbin Institute of Technology, No. 2 West Wenhua Road, Weihai 264209, China

Received 27 June 2013; Accepted 28 November 2013; Published 9 January 2014

Academic Editor: Shuli Sun

Copyright © 2014 Gongliang Liu and Wenjing Kang. 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.


The ocean monitoring sensor network is a typically energy-limited and bandwidth-limited system, and the technical bottleneck of which is the asymmetry between the demand for large-scale and high-resolution information acquisition and the limited network resources. The newly arising compressed sensing theory provides a chance for breaking through the bottleneck. In view of this and considering the potential advantages of the emerging interleave-division multiple access IDMA technology in underwater channels, this paper proposes an IDMA-based compressed sensing scheme in underwater sensor networks with applications to environmental monitoring information acquisition. Exploiting the sparse property of the monitored objects, only a subset of sensors is required to measure and transmit the measurements to the monitoring center for accurate information reconstruction, reducing the requirements for channel bandwidth and energy consumption significantly. Furthermore, with the aid of the semianalytical technique of IDMA, the optimal sensing probability of each sensor is determined to minimize the reconstruction error of the information map. Simulation results with real oceanic monitoring data validate the efficiency of the proposed scheme.

Autor: Gongliang Liu and Wenjing Kang



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