TY - JOUR
T1 - On energy efficient encryption for video streaming in wireless sensor networks
AU - Wang, Wei
AU - Hempel, Michael
AU - Peng, Dongming
AU - Wang, Honggang
AU - Sharif, Hamid
AU - Chen, Hsiao Hwa
N1 - Funding Information:
Manuscript received May 23, 2009; revised February 09, 2010; accepted April 01, 2010. Date of publication May 18, 2010; date of current version July 16, 2010. This work was supported in part by US NSF Grant No. 0707944 for wireless sensor networks research, and in part by Taiwan National Science Council Research Grant NSC98-2219-E-006-011. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Ali N. Akansu.
PY - 2010/8
Y1 - 2010/8
N2 - Selective encryption for video streaming was proposed for efficient multimedia content protection. However, the issues on joint optimization of video quality, content protection, and communication energy efficiency in a wireless sensor network (WSN) have not been fully addressed in the literature. In this paper, we propose a scheme to optimize the energy, distortion, and encryption performance of video streaming in WSNs. The contribution of this work is twofold. First, a channel-aware selective encryption approach is proposed to minimize the extra encryption dependency overhead at the application layer. Second, an unequal error protection (UEP)-based network resource allocation scheme is proposed to improve the communication efficiency at the lower layers. Simulation experiments demonstrate that the proposed joint selective encryption and resource allocation scheme can improve the video transmission quality significantly with guaranteed content protection and energy efficiency.
AB - Selective encryption for video streaming was proposed for efficient multimedia content protection. However, the issues on joint optimization of video quality, content protection, and communication energy efficiency in a wireless sensor network (WSN) have not been fully addressed in the literature. In this paper, we propose a scheme to optimize the energy, distortion, and encryption performance of video streaming in WSNs. The contribution of this work is twofold. First, a channel-aware selective encryption approach is proposed to minimize the extra encryption dependency overhead at the application layer. Second, an unequal error protection (UEP)-based network resource allocation scheme is proposed to improve the communication efficiency at the lower layers. Simulation experiments demonstrate that the proposed joint selective encryption and resource allocation scheme can improve the video transmission quality significantly with guaranteed content protection and energy efficiency.
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U2 - 10.1109/TMM.2010.2050653
DO - 10.1109/TMM.2010.2050653
M3 - Article
AN - SCOPUS:77954703704
VL - 12
SP - 417
EP - 426
JO - IEEE Transactions on Multimedia
JF - IEEE Transactions on Multimedia
SN - 1520-9210
IS - 5
M1 - 5466233
ER -