Abstract

In this paper, we investigate a joint performance optimization on network lifetime and video distortion for wireless multimedia sensor network (WMSN). Considering the tradeoff between minimum video distortion and maximum network lifetime, a multi-objective cross-layer optimization framework is proposed, which not only optimizes network lifetime but also achieves optimal video quality, where the source encoding rate and link rate are jointly optimized. In addition, a secret scheme that couples secret sharing and multipath routing is developed to provide reliable security. Finally, a video distortion model, including source rate and link rate is specially studied. Decentralized algorithms are realized using a subgradient method to solve the multi-objective optimization problem. Experimental results demonstrate the optimal tradeoff performance. We also illustrated that the proposed scheme can achieve greater network lifetime and much less video distortion compared to existing distributed algorithms.

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