Correlation-Aware QoS Routing With Differential Coding for Wireless Video Sensor Networks


The spatial correlation of visual information retrieved from distributed camera sensors leads to considerable data redundancy in wireless video sensor networks, resulting in significant performance degradation in energy efficiency and quality-of-service (QoS) satisfaction. In this paper, a correlation-aware QoS routing algorithm (CAQR) is proposed to efficiently deliver visual information under QoS constraints by exploiting the correlation of visual information observed by different camera sensors. First, a correlation-aware inter-node differential coding scheme is designed to reduce the amount of traffic in the network. Then, a correlation-aware load balancing scheme is proposed to prevent network congestion by splitting the correlated flows that cannot be reduced to different paths. Finally, the correlation-aware schemes are integrated into an optimization QoS routing framework with an objective to minimize energy consumption subject to delay and reliability constraints. Simulation results demonstrate that the proposed routing algorithm achieves efficient delivery of visual information under QoS constraints in wireless video sensor networks.

DOI: 10.1109/TMM.2012.2194992

Extracted Key Phrases

9 Figures and Tables

Citations per Year

Citation Velocity: 5

Averaging 5 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@article{Dai2012CorrelationAwareQR, title={Correlation-Aware QoS Routing With Differential Coding for Wireless Video Sensor Networks}, author={Rui Dai and Pu Wang and Ian F. Akyildiz}, journal={IEEE Trans. Multimedia}, year={2012}, volume={14}, pages={1469-1479} }