Title :
Horizontal hierarchy slicing based data compression for WSN
Author :
Yanwen Wang ; Xiaoyu Li ; Xiaoling Wu ; Zhangbing Zhou ; Hainan Chen
Author_Institution :
Guangzhou Inst. of Adv. Technol., Guangzhou, China
Abstract :
Data compression on sensing data in Wireless Sensor Networks (WSNs) has long been the topic of extensive research in the last decade. Especially, in video sensor networks, the video and image data that need to be transmitted are relatively larger than common data. However WSNs usually have limited power supply and constrained communication bandwidth, it is significant to reduce the video and image data without any distortion before transmission to lower the energy consumption and the transmission delay. Therefore, in this paper we propose Horizontal Hierarchy Slicing (HHS) method based on Mathematical Morphology technology for compressing the data in WSNs. The results show its effectiveness in data compression for video and image data.
Keywords :
data compression; energy consumption; mathematical morphology; synchronisation; telecommunication power management; video coding; wireless sensor networks; HHS method; WSN; communication bandwidth; data compression; energy consumption; horizontal hierarchy slicing method; image data; mathematical morphology technology; power supply; sensing data; transmission delay; video data; video sensor networks; wireless sensor networks; Data compression; Delays; Encoding; Image coding; Image reconstruction; Monitoring; Wireless sensor networks; Horizontal Hierarchy Slicing; Mathematical Morphology; Wireless Sensor Networks (WSNs); data compression;
Conference_Titel :
Computing, Communications and IT Applications Conference (ComComAp), 2014 IEEE
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4813-0
DOI :
10.1109/ComComAp.2014.7017206
