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Sensors 2016, 16(7), 1023; doi:10.3390/s16071023

Content-Based Multi-Channel Network Coding Algorithm in the Millimeter-Wave Sensor Network

1,* , 1
and
2
1
School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China
2
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Academic Editors: Yonghui Li, Kei Sakaguchi, Yong Li and He (Henry) Chen
Received: 27 April 2016 / Revised: 25 June 2016 / Accepted: 28 June 2016 / Published: 1 July 2016
(This article belongs to the Special Issue Millimeter Wave Wireless Communications and Networks)
View Full-Text   |   Download PDF [932 KB, uploaded 1 July 2016]   |  

Abstract

With the development of wireless technology, the widespread use of 5G is already an irreversible trend, and millimeter-wave sensor networks are becoming more and more common. However, due to the high degree of complexity and bandwidth bottlenecks, the millimeter-wave sensor network still faces numerous problems. In this paper, we propose a novel content-based multi-channel network coding algorithm, which uses the functions of data fusion, multi-channel and network coding to improve the data transmission; the algorithm is referred to as content-based multi-channel network coding (CMNC). The CMNC algorithm provides a fusion-driven model based on the Dempster-Shafer (D-S) evidence theory to classify the sensor nodes into different classes according to the data content. By using the result of the classification, the CMNC algorithm also provides the channel assignment strategy and uses network coding to further improve the quality of data transmission in the millimeter-wave sensor network. Extensive simulations are carried out and compared to other methods. Our simulation results show that the proposed CMNC algorithm can effectively improve the quality of data transmission and has better performance than the compared methods. View Full-Text
Keywords: millimeter-wave sensor network; network coding; multi-channel assignment; data fusion; data content millimeter-wave sensor network; network coding; multi-channel assignment; data fusion; data content
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. (CC BY 4.0).

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MDPI and ACS Style

Lin, K.; Wang, D.; Hu, L. Content-Based Multi-Channel Network Coding Algorithm in the Millimeter-Wave Sensor Network. Sensors 2016, 16, 1023.

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