Resource Reservation Based Image Data Transmission Scheme for Surveillance Sensor Networks 


Vol. 39,  No. 11, pp. 1104-1113, Nov.  2014


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  Abstract

Future combat systems can be represented as the NCW (Network Centric Warefare), which is based on the concept of Sensor-to-Shooter. A wireless video sensor networking technology, one of the core components of NCW, has been actively applied for the purpose of tactical surveillance. In such a surveillance sensor network, multi-composite sensors, especially consisting of image sensors are utilized to improve reliability for intrusion detection and enemy tracing. However, these sensors may cause a problem of requiring very high network capacity and energy consumption. In order to alleviate this problem, this paper proposes an image data transmission scheme based on resource reservation. The proposed scheme can make it possible to have more reliable image data transmission by choosing proper multiple interfaces, while trying to control resolution and compression quality of image data based on network resource availability. By the performance analysis using NS-3 simulation, we have confirmed the transmission reliability as well as energy efficiency of the proposed scheme.

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  Cite this article

[IEEE Style]

W. Song, W. Jung, Y. Ko, "Resource Reservation Based Image Data Transmission Scheme for Surveillance Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 11, pp. 1104-1113, 2014. DOI: .

[ACM Style]

Woon-Seop Song, Woo-Sung Jung, and Young-Bae Ko. 2014. Resource Reservation Based Image Data Transmission Scheme for Surveillance Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 39, 11, (2014), 1104-1113. DOI: .

[KICS Style]

Woon-Seop Song, Woo-Sung Jung, Young-Bae Ko, "Resource Reservation Based Image Data Transmission Scheme for Surveillance Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 11, pp. 1104-1113, 11. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880