University Events

Description: TOPIC: QUALITY-DRIVEN SECURE ROUTING FOR WIRELESS MULTIMEDIA SENSOR NETWORKS USING SECRET SHARING

LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A

ABSTRACT:
Security and video quality are progressively significant attributes for wireless multimedia sensor networks (WMSN). Most existing research considers security and video quality separately. However, it is crucial to integrate security and video quality for video transmission because delivering video data across a secure path does not often meet video quality requirements. Applying secret sharing algorithms on a data packet and delivering it through disjoint multipaths can be considered as a typical security approach. However, using the general concept of secret sharing is not efficient when large size video data are routed. Therefore, in the first part of the dissertation, a new security and quality aware routing protocol (SQAR) is proposed to address these issues. Security and video quality are jointly considered in wireless multimedia networks by a proposed video distortion model based on a new secret image sharing scheme. In SQAR, a secret image sharing is only applied on the intra-frames (I-Frame) of the video codec H.264, which can significantly reduce the transmission overheads. The performance results show that SQAR scheme can achieve better trade-off between the security and quality over the traditional routing protocols.

The second part of the dissertation investigates the joint performance optimization of network lifetime and video distortion for WMSN. To balance the tradeoff between minimizing video distortion and maximizing network lifetime, a multi-objective cross-layer optimization framework is proposed. The approach not only extends network lifetime but also achieves optimal video quality, where the source encoding and link rates are jointly examined, formulating a weighted convex optimization problem. In the context of security, a secret scheme that couples secret sharing and multipath routing is developed to provide reliable security. Additionally, a specific video distortion model, including source rate and link rate is proposed. Lastly decentralized algorithms are implemented using subgradient methods to solve the multi-objective optimization problem. Experimental results demonstrate the optimal tradeoff performance. It is shown that the proposed scheme can accomplish a longer network lifetime with much less video distortion compared to existing approaches.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

Advisor: Dr. Honggang Wang
Committee Members:
Dr. Liudong Xing and Dr. Howard E. Michel, Department of Electrical & Computer Engineering; Dr. Haiping Xu, Computer and Information Science; Dr. Xinming Huang, Worcester Polytechnic Institute.

*For further information, please contact Dr. Honggang Wang at 508.999.8469 or via email at hwang1@umassd.edu.