TY - GEN
T1 - Energy efficient multi-resolution visual surveillance on wireless sensor networks
AU - Veeraraghavan, Kugesh
AU - Peng, Dongming
AU - Sharif, Hamid
N1 - Funding Information:
The authors thank the sponsors of the JIP on Liquid Loading in the Operation of Gas Fields: Mechanisms, Prediction and Reservoir Response, coordinated by Texas A&M University, of which the Federal University of Santa Catarina (UFSC) and TU Clausthal were participating universities. Marcus Alves thanks the CNPq for the PhD scholarship at UFSC (Grant No. 142781/2008-8), and for the one-year internship scholarship at Texas A&M University (Grant No. 201817/2010-1). We also thank CENAPAD/Unicamp, for providing access to their supercomputing facility where the computer program was run.
PY - 2005
Y1 - 2005
N2 - Visual surveillance with a distributed ad-hoc sensor network will enable reliable monitoring and control of a variety of applications that range from civil to military. However, due to the large volume of multimedia data associated with visual sensors, the surveillance scheme has to be architected with a goal of energy conservation and extending life expectancy. In this paper, we briefly discuss the computation and communication energy costs associated with a sensor node and explore the possibilities of extending battery life by choosing to perform local processing. We propose a Discrete Wavelet Transform (DWT) based multi-resolution surveillance schema designed to reduce power requirement. We then compare and contrast the computational and communication power expended by a traditionally used JPEG-based scheme and illustrate the significant power savings achieved by the proposed surveillance system.
AB - Visual surveillance with a distributed ad-hoc sensor network will enable reliable monitoring and control of a variety of applications that range from civil to military. However, due to the large volume of multimedia data associated with visual sensors, the surveillance scheme has to be architected with a goal of energy conservation and extending life expectancy. In this paper, we briefly discuss the computation and communication energy costs associated with a sensor node and explore the possibilities of extending battery life by choosing to perform local processing. We propose a Discrete Wavelet Transform (DWT) based multi-resolution surveillance schema designed to reduce power requirement. We then compare and contrast the computational and communication power expended by a traditionally used JPEG-based scheme and illustrate the significant power savings achieved by the proposed surveillance system.
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M3 - Conference contribution
AN - SCOPUS:33947161400
SN - 0780392329
SN - 9780780392328
T3 - 2005 IEEE International Conference on Electro Information Technology
BT - 2005 IEEE International Conference on Electro Information Technology
T2 - 2005 IEEE International Conference on Electro Information Technology
Y2 - 22 May 2005 through 25 May 2005
ER -