DocumentCode
235461
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
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
255
Lastpage
260
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communications and IT Applications Conference (ComComAp), 2014 IEEE
Conference_Location
Beijing
Print_ISBN
978-1-4799-4813-0
Type
conf
DOI
10.1109/ComComAp.2014.7017206
Filename
7017206
Link To Document