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

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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 languageEnglish
Title of host publication2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages816-821
Number of pages6
ISBN (Print)9781467311571
DOIs
Publication statusPublished - 2012
Event2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia
Duration: 2 Oct 20125 Oct 2012

Other

Other2012 International Symposium on Communications and Information Technologies, ISCIT 2012
CountryAustralia
CityGold Coast, QLD
Period2/10/125/10/12

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