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http://dx.doi.org/10.5392/IJoC.2015.11.2.031

A Multimedia Data Compression Scheme for Disaster Prevention in Wireless Multimedia Sensor Networks  

Park, Jun-Ho (Agency for Defense Development)
Lim, Jong-Tae (Department of Information & Communication Engineering Chungbuk National University)
Yoo, Jae-Soo (Department of Information & Communication Engineering Chungbuk National University)
Oh, Yong-Sun (Division of Information and Communication Convergence Engineering Mokwon University)
Oh, Sang-Hoon (Division of Information and Communication Convergence Engineering Mokwon University)
Min, Byung-Won (Division of Information and Communication Convergence Engineering Mokwon University)
Park, Sun-Gyu (Department of Architectural Engineering Mokwon University)
Noh, Hwang-Woo (Department of Visual Communication Design Hanbat National University)
Hayashida, Yukuo (Faculty of Science and Engineering Saga University)
Publication Information
Abstract
Recent years have seen a significant increase in demand for multimedia data over wireless sensor networks for monitoring applications that utilize sensor nodes to collect multimedia data, including sound and video. However, the multimedia streams generate a very large amount of data. When data transmission schemes for traditional wireless sensor networks are applied in wireless multimedia sensor networks, the network lifetime significantly decreases due to the excessive energy consumption of specific nodes. In this paper, we propose a data compression scheme that implements the Chinese remainder theorem to a wireless multimedia sensor network. The proposed scheme uses the Chinese Remainder Theorem (CRT) to compress and split multimedia data, and it then transmits the bit-pattern packets of the remainder to the base station. As a result, the amount of multimedia data that is transmitted is reduced. The superiority of our proposed scheme is demonstrated by comparing its performance to that of an existing scheme. The results of our experiment indicate that our proposed scheme significantly increased the compression ratio and reduced the compression operation in comparison to those of existing compression schemes.
Keywords
Wireless Multimedia Sensor Networks; Compression; Chinese Remainder Theorem; Energy-efficient;
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