A Study on Efficient Infrastructure Architecture for Intersection Collision Avoidance Associated with Sensor Networks 


Vol. 33,  No. 8, pp. 657-666, Aug.  2008


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  Abstract

The intersection collision avoidance service among various telematics application services is regarded as one of the most critical services with regard to safety. In such safety applications, real-time, correct transmission of service is required. In this paper, we study on efficient infrastructure architecture for intersection collision avoidance using a cooperative mechanism between vehicles and wireless infrastructure. In particular, we propose an infrastructure, called CISN (Cooperative Infrastructure associated with Sensor Networks), in which proper numbers of sensor nodes are deployed on each road, surrounding the intersection. In the proposed architecture, overall service performance is influenced by various parameters consisting of the infrastructure, such as the number of deployed sensor nodes, radio range and broadcast interval of base station, and so on. In order to test the feasibility of the CISN model in advance, and to evaluate the correctness and real-time transmission ability, an intersection sensor deployment simulator is developed. Through various simulations on several environments, we identify optimal points of some critical parameters to build the most desirable CISN.

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  Cite this article

[IEEE Style]

K. Hwang, "A Study on Efficient Infrastructure Architecture for Intersection Collision Avoidance Associated with Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 8, pp. 657-666, 2008. DOI: .

[ACM Style]

Kwang-il Hwang. 2008. A Study on Efficient Infrastructure Architecture for Intersection Collision Avoidance Associated with Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 33, 8, (2008), 657-666. DOI: .

[KICS Style]

Kwang-il Hwang, "A Study on Efficient Infrastructure Architecture for Intersection Collision Avoidance Associated with Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 8, pp. 657-666, 8. 2008.