Optimal Location Selection Algorithm of MSAP for Tactical Communication Networks 


Vol. 36,  No. 12, pp. 1736-1743, Dec.  2011


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  Abstract

In Network Centric Warfare (NCW) environment, having a tactical communication network which provides high data exchange rate is very important. In the process, Korean Army developed Mobile Subscriber Access Point (MSAP) which is based on the commercial Wireless BroadBand (Wibro). MSAP is a vehicle attached base station which provide high data exchange communication environment in a given area. Thus MSAP can provide high data exchange rate and mobility to accomplish missions in the battlefield more effectively. In this paper, we propose an operational strategy of using MSAP to provide tactical communication network in the battlefield. The idea is to find the optimal location point of the MSAP in the operational area where all the troops in the operational area can be supported by the MSAP with a minimum number of MSAP. Since the current Korean Army"s basic idea of using MSAP is just distribute this MSAP to each troop, so by applying our strategy we can save MSAP devices for more flexible operation. We will s how our strategy"s benefits through the mathematical model and the algorithm of the presented problem.

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  Cite this article

[IEEE Style]

S. Cho, J. Kang, J. Kim, "Optimal Location Selection Algorithm of MSAP for Tactical Communication Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 12, pp. 1736-1743, 2011. DOI: .

[ACM Style]

Sang-Mok Cho, Jung-Ho Kang, and Jae-Hyun Kim. 2011. Optimal Location Selection Algorithm of MSAP for Tactical Communication Networks. The Journal of Korean Institute of Communications and Information Sciences, 36, 12, (2011), 1736-1743. DOI: .

[KICS Style]

Sang-Mok Cho, Jung-Ho Kang, Jae-Hyun Kim, "Optimal Location Selection Algorithm of MSAP for Tactical Communication Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 12, pp. 1736-1743, 12. 2011.