Data Compression in Wireless Visual Sensor Networks using Wavelets

被引：0

作者：

Sofi, Shabir Ahmad ^{[1
]}

Naaz, Roohie ^{[2
]}

机构：

[1] Natl Inst Technol Srinagar, Dept Informat Technol, Hazratbal, Kashmir, India

[2] Natl Inst Technol Srinagar, Dept Comp Sci & Engn, Hazratbal, Kashmir, India

来源：

PROCEEDINGS OF THE 2016 IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET) | 2016年

关键词：

Wireless Visual Sensor Network (WVSN); Discrete Wavelet Transform (DWT); Skipped High-pass Sub-band (SHPS); Data Compression;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Wireless Sensor Networking is a sensor information gathering technology that has a wide range of applications in numerous fields. However due to the fact that sensor nodes have limited battery and are deployed in remote and harsh environments, energy efficient and real time transmission of the information are still open challenges. Since in a wireless sensor network data transmission is the most power consuming task, so far most useful techniques for the purpose of energy efficient and real time transmissions are based on data compression, the majority of them are based on wavelet transform. This paper give performance analysis of different wavelets for energy efficient and real time image data transmission in application like environment monitoring using wireless visual sensor networks. The performance evaluation shows that Haar wavelet is better in terms of energy efficiency and transmission time.

引用

页码：1286 / 1290

页数：5

共 18 条

[1]

Abbate A., 1995, Wavelets and subbands: fundamentals and application

[2] A survey on sensor networks [J].

Akyildiz, IF ;

Su, WL ;

Sankarasubramaniam, Y ;

Cayirci, E .

IEEE COMMUNICATIONS MAGAZINE, 2002, 40 (08) :102-114

[3] Energy conservation in wireless sensor networks: A survey [J].

Anastasi, Giuseppe ;

Conti, Marco ;

Di Francesco, Mario ;

Passarella, Andrea .

AD HOC NETWORKS, 2009, 7 (03) :537-568

[4] Image coding using wavelet transform [J].

Antonini, Marc ;

Barlaud, Michel ;

Mathieu, Pierre ;

Daubechies, Ingrid .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1992, 1 (02) :205-220

[5]

Ciancio Alexandre, 2004, P INT C AC SPEECH SI

[6]

Farooq Umar, 2014, P ICAET ROORK IND MA, P599

[7] AN INTRODUCTION TO WAVELETS [J].

GRAPS, A .

IEEE COMPUTATIONAL SCIENCE & ENGINEERING, 1995, 2 (02) :50-61

[8]

Karl H, 2005, PROTOCOLS AND ARCHITECTURES FOR WIRELESS SENSOR NETWORKS, P1, DOI 10.1002/0470095121

[9] Energy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks [J].

Lecuire, Vincent ;

Duran-Faundez, Cristian ;

Krommenacker, Nicolas .

EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2007, 2007 (1)

[10] Adaptive-Compression Based Congestion Control Technique for Wireless Sensor Networks [J].

Lee, Joa-Hyoung ;

Jung, In-Bum .

SENSORS, 2010, 10 (04) :2919-2945

← 1 2 →