2019
DOI: 10.1177/1550147719853978
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Common network coding condition and traffic matching supported network coding aware routing for wireless multihop network

Abstract: Network coding-based routing has been widely considered as a promising technology to improve the network throughput of wireless multihop network. However, existing network coding aware routings have the problem of failure decoding and usually neglect the transmission scheduling, which degrades the gain of network coding. In this article, a common network coding condition and traffic matching supported network coding aware routing is proposed for wireless multihop network. In this, common network coding conditi… Show more

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Cited by 7 publications
(5 citation statements)
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“…A systematic method for designing functions was presented by the researcher [6]. As shown here, selecting functions at random and independently for each peer should work just as well [5].…”
Section: Algorithms Related To Network Coding Were Published In 2005-...mentioning
confidence: 99%
“…A systematic method for designing functions was presented by the researcher [6]. As shown here, selecting functions at random and independently for each peer should work just as well [5].…”
Section: Algorithms Related To Network Coding Were Published In 2005-...mentioning
confidence: 99%
“…Compared with traditional network data transmission, nodes in a network coding system need to operate coding and decoding programs frequently, which will produce a series of problems. For example, complex programs will increase the delay of network data transmission and consume excessive network computing resources [11]. Therefore, in the process of network coding optimization, the network coding program needs to be optimized first.…”
Section: Wireless Signal Transmission Model Via Network Codingmentioning
confidence: 99%
“…Zhu et al [14,15] used simulation models to estimate ICU (Intensive Care Unit) bed capacity via discrete event simulation. Thomas et al [16][17][18] used discrete-time simulation models to analyze the impact of different emergency bed allocation schemes on system performance, which reduced the number of patients overflowing in the system. Finally, simulation experiments were used to verify the model robustness and the applicability of the conclusions.…”
Section: Ward Allocationmentioning
confidence: 99%