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http://dx.doi.org/10.9717/kmms.2016.19.2.360

Data Compression Method for Reducing Sensor Data Loss and Error in Wireless Sensor Networks  

Shin, DongHyun (Department of Computer Science & Engineering, Gangneung-Wonju National University)
Kim, Changhwa (Department of Computer Science & Engineering, Gangneung-Wonju National University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.2, 2016 , pp. 360-374 More about this Journal
Abstract
Since WSNs (Wireless Sensor Networks) applied to their application areas such as smart home, smart factory, environment monitoring, etc., depend on sensor data, the sensor data is the most important among WSN components. The resources of each node consisting of WSN are extremely limited in energy, hardware and so on. Due to these limitation, communication failure probabilities become much higher and the communication failure causes data loss to occur. For this reason, this paper proposes 2MC (Maximum/Minimum Compression) that is a method to compress sensor data by selecting circular queue-based maximum/minimum sensor data values. Our proposed method reduces sensor data losses and value errors when they are recovered. Experimental results of 2MC method show the maximum/minimum 35% reduction efficiency in average sensor data accumulation error rate after the 3 times compression, comparing with CQP (Circular Queue Compression based on Period) after the compressed data recovering.
Keywords
CQP (Circular Queue based on Period); 2MC (Maximum/Minimum Compression); IoT (Internet of Things); WSN (Wireless Sensor Network) Failures; Communication Error; Sensor Data Compression;
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Times Cited By KSCI : 2  (Citation Analysis)
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