A reliable data transmission scheme based on compressed sensing and network coding for multi-hop-relay wireless sensor networks. (November 2016)

• Record Type: Journal Article
• Authors: Yin, Jun; Yang, Yuwang; Wang, Lei; Yan, Xiaoyong
• Is Part Of: Computers & electrical engineering. Volume 56(2016)
• Page Start: 366
• Page End: 384
• Publication Date: 2016-11
• Subjects: Compressed sensing -- Multipath routing -- Network coding -- Wireless sensor networks; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2015.12.025
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: A scheme of reliable data transmissions for the WSNs is presented. The encoding–decoding method is proposed and its effectiveness is proved. Performances of the proposed and other existing schemes are also analyzed. Graphical abstract: Abstract: The joint multipath routing and Network Coding (NC) method has been shown to improve the reliability and energy efficiency of multi-hop-relay wireless sensor networks (WSNs). However, NC is a kind of "all-or-nothing" code: the destination node cannot decode any information unless it successfully receives as many NC coded packets as the raw ones. Observed that WSNs often measure physical signals which show a high degree of correlation, in this paper, we propose a more deliberated scheme combined with Compressed Sensing (CS). Depending on the proposed measurement and recovery method, we prove that the original data can be recovered progressively while preserving the advantage of NC-based scheme. Detailed mathematical analysis of the performance of our proposed scheme along with other existing schemes is given. The experimental results also show the efficiency and robustness of the proposed scheme.