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

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

Content Provider	MDPI
Author	Lin, Kai Wang, Di Hu, Long
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.
File Size	954368
File Format	PDF
e-ISSN	14248220
DOI	10.3390/s16071023
Journal	Sensors
Issue Number	7
Volume Number	16
Language	English
Publisher Date	2016-07-01
Access Restriction	Open
Subject Keyword	millimeter-wave sensor network network coding multi-channel assignment data fusion data content
Content Type	Text
Resource Type	Article

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