NDLI: Autoregressive model based data gathering algorithm for wireless sensor networks with compressive sensing

Content Provider	IEEE Xplore Digital Library
Author	Xiangling Li Xiaofeng Tao Yinjun Liu Qimei Cui
Copyright Year	2015
Description	Author affiliation: Nat. Eng. Lab. for Mobile Network Secutrity, Beijing Univ. of Post & Telecommun., Beijing, China (Xiangling Li; Xiaofeng Tao; Yinjun Liu; Qimei Cui)
Abstract	The recently emerged compressive sensing (CS) theory provides a whole new avenue for data gathering (DG) in wireless sensor networks (WSNs) with the benefits of energy efficient. The exiting CS based DG approaches design the routing processes based on the assumption that there is a transform that can sparsely represent the sensor readings. However, most of the real sensor readings are well approximated by the sparse signals, which increases the amount of the data traffic to obtain the exact reconstruction, specially in the noisy situation. In this paper, we present an adaptable CS based DG scheme in WSNs. The autoregressive (AR) model based optimization problem is considered for the successive reconstruction and the reduction of the data traffic, in which AR model and the routing processes are jointly introduced into the reconstruction of the sensor readings. The AR parameters are evaluated with the historical sensor readings at the sink, by taking advantage of the similar spatial correlation. Then, with the known AR parameters, the sensor readings are reconstructed by extending the BPDN algorithm to the AR model based optimization problem. Our experimental results indicate that the proposed DG scheme outperforms the exist random walk (RW) based DG scheme in terms of reconstruction error and energy efficient, which results in better reconstruction accuracy with the RWs with the significantly smaller length.
Starting Page	2044
Ending Page	2048
File Size	160696
Page Count	5
File Format	PDF
e-ISBN	9781467367820
DOI	10.1109/PIMRC.2015.7343634
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Wireless sensor networks Correlation Data models Optimization Adaptation models Compressed sensing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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