Delay Analysis of Event-Driven Emergency Messages in IEEE 1609.4 Multi-Channel Operation 


Vol. 45,  No. 1, pp. 80-88, Jan.  2020
10.7840/kics.2020.45.1.80


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  Abstract

In this paper, we study delay performance of emergency messages processed in the multi-channel operation defined in WAVE standard IEEE 1609.4. In an environment where periodic beacon messages and event-driven emergency messages are processed together for safety services on the road, we focused on the delay in delivering emergency messages. We propose a delay model of the emergency messages reflecting the constraints caused by the channel switching operation. Emergency messages are given priority so that they can be processed quickly, and the resulting differentiated treatment is reflected in the model. In order to improve the accuracy, the proposed model reflects inter-dependency of traffic. The hidden node problem that seriously affects the message delivery ratio is also reflected in the modeling to identify its effects on the delay. The proposed model is applied to investigate the relationship between various system parameters and the delay performance of the emergency messages. We found that, while the influence of beacon messages or hidden node problem is limited, the channel switching operation has a noticeable effect on the delay performance of emergency messages.

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  Cite this article

[IEEE Style]

D. Jeong, "Delay Analysis of Event-Driven Emergency Messages in IEEE 1609.4 Multi-Channel Operation," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 1, pp. 80-88, 2020. DOI: 10.7840/kics.2020.45.1.80.

[ACM Style]

Daein Jeong. 2020. Delay Analysis of Event-Driven Emergency Messages in IEEE 1609.4 Multi-Channel Operation. The Journal of Korean Institute of Communications and Information Sciences, 45, 1, (2020), 80-88. DOI: 10.7840/kics.2020.45.1.80.

[KICS Style]

Daein Jeong, "Delay Analysis of Event-Driven Emergency Messages in IEEE 1609.4 Multi-Channel Operation," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 1, pp. 80-88, 1. 2020. (https://doi.org/10.7840/kics.2020.45.1.80)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880