Compressed network coding for distributed storage in Wireless Sensor Networks

Xianjun Yang; Eryk Dutkiewicz; Qimei Cui; Xiaofeng Tao; Y. Jay Guo; Xiaojing Huang

doi:10.1109/ISCIT.2012.6381014

Compressed network coding for distributed storage in Wireless Sensor Networks

Xianjun Yang^*, Eryk Dutkiewicz, Qimei Cui, Xiaofeng Tao, Y. Jay Guo, Xiaojing Huang

^*Corresponding author for this work

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

5 Citations (Scopus)

Abstract

Distributed storage plays a very important role in Wireless Sensor Networks (WSNs), especially in catastrophic scenarios. To improve the energy efficiency of distributed storage, this paper proposes a Compressed Network Coding based Distributed Storage (CNCDS) scheme. Exploiting the correlation of sensor readings and utilizing the Compressed Sensing (CS) theory and network coding technology, the proposed CNCDS scheme achieves good energy efficiency by reducing the number of transmissions and receptions. Theoretical analysis proves that, the measurement matrix of CNCDS scheme guarantees good CS recovery performance. Simulation results show that, compared with the conventional ICStorage scheme, the proposed CNCDS scheme reduces the number of transmissions, the number of receptions and the CS recovery mean squared error (MSE) by up to 55%, 74% and 76% respectively. In contrast to the conventional NICStorage scheme, the proposed CNCDS scheme can simultaneously reduce the number of transmissions, receptions and recovery MSE.

Original language	English
Title of host publication	2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	816-821
Number of pages	6
ISBN (Print)	9781467311571
DOIs	https://doi.org/10.1109/ISCIT.2012.6381014
Publication status	Published - 2012
Event	2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia Duration: 2 Oct 2012 → 5 Oct 2012

Other

Other	2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Country/Territory	Australia
City	Gold Coast, QLD
Period	2/10/12 → 5/10/12

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10.1109/ISCIT.2012.6381014

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Yang, X., Dutkiewicz, E., Cui, Q., Tao, X., Guo, Y. J., & Huang, X. (2012). Compressed network coding for distributed storage in Wireless Sensor Networks. In 2012 International Symposium on Communications and Information Technologies, ISCIT 2012 (pp. 816-821). Article 6381014 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISCIT.2012.6381014

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title = "Compressed network coding for distributed storage in Wireless Sensor Networks",

abstract = "Distributed storage plays a very important role in Wireless Sensor Networks (WSNs), especially in catastrophic scenarios. To improve the energy efficiency of distributed storage, this paper proposes a Compressed Network Coding based Distributed Storage (CNCDS) scheme. Exploiting the correlation of sensor readings and utilizing the Compressed Sensing (CS) theory and network coding technology, the proposed CNCDS scheme achieves good energy efficiency by reducing the number of transmissions and receptions. Theoretical analysis proves that, the measurement matrix of CNCDS scheme guarantees good CS recovery performance. Simulation results show that, compared with the conventional ICStorage scheme, the proposed CNCDS scheme reduces the number of transmissions, the number of receptions and the CS recovery mean squared error (MSE) by up to 55%, 74% and 76% respectively. In contrast to the conventional NICStorage scheme, the proposed CNCDS scheme can simultaneously reduce the number of transmissions, receptions and recovery MSE.",

author = "Xianjun Yang and Eryk Dutkiewicz and Qimei Cui and Xiaofeng Tao and Guo, {Y. Jay} and Xiaojing Huang",

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Yang, X, Dutkiewicz, E, Cui, Q, Tao, X, Guo, YJ & Huang, X 2012, Compressed network coding for distributed storage in Wireless Sensor Networks. in 2012 International Symposium on Communications and Information Technologies, ISCIT 2012., 6381014, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 816-821, 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, Gold Coast, QLD, Australia, 2/10/12. https://doi.org/10.1109/ISCIT.2012.6381014

Compressed network coding for distributed storage in Wireless Sensor Networks. / Yang, Xianjun; Dutkiewicz, Eryk; Cui, Qimei et al.
2012 International Symposium on Communications and Information Technologies, ISCIT 2012. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 816-821 6381014.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Compressed network coding for distributed storage in Wireless Sensor Networks

AU - Yang, Xianjun

AU - Dutkiewicz, Eryk

AU - Cui, Qimei

AU - Tao, Xiaofeng

AU - Guo, Y. Jay

AU - Huang, Xiaojing

PY - 2012

Y1 - 2012

N2 - Distributed storage plays a very important role in Wireless Sensor Networks (WSNs), especially in catastrophic scenarios. To improve the energy efficiency of distributed storage, this paper proposes a Compressed Network Coding based Distributed Storage (CNCDS) scheme. Exploiting the correlation of sensor readings and utilizing the Compressed Sensing (CS) theory and network coding technology, the proposed CNCDS scheme achieves good energy efficiency by reducing the number of transmissions and receptions. Theoretical analysis proves that, the measurement matrix of CNCDS scheme guarantees good CS recovery performance. Simulation results show that, compared with the conventional ICStorage scheme, the proposed CNCDS scheme reduces the number of transmissions, the number of receptions and the CS recovery mean squared error (MSE) by up to 55%, 74% and 76% respectively. In contrast to the conventional NICStorage scheme, the proposed CNCDS scheme can simultaneously reduce the number of transmissions, receptions and recovery MSE.

AB - Distributed storage plays a very important role in Wireless Sensor Networks (WSNs), especially in catastrophic scenarios. To improve the energy efficiency of distributed storage, this paper proposes a Compressed Network Coding based Distributed Storage (CNCDS) scheme. Exploiting the correlation of sensor readings and utilizing the Compressed Sensing (CS) theory and network coding technology, the proposed CNCDS scheme achieves good energy efficiency by reducing the number of transmissions and receptions. Theoretical analysis proves that, the measurement matrix of CNCDS scheme guarantees good CS recovery performance. Simulation results show that, compared with the conventional ICStorage scheme, the proposed CNCDS scheme reduces the number of transmissions, the number of receptions and the CS recovery mean squared error (MSE) by up to 55%, 74% and 76% respectively. In contrast to the conventional NICStorage scheme, the proposed CNCDS scheme can simultaneously reduce the number of transmissions, receptions and recovery MSE.

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Compressed network coding for distributed storage in Wireless Sensor Networks

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