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

• Published in: IEEE transactions on multimedia Vol. 14; no. 5; pp. 1469 - 1479
• Main Authors: Rui Dai, Pu Wang, Akyildiz, I. F.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.2012; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Artificial intelligence; Coding, codes; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Correlation; Encoding; Exact sciences and technology; Information, signal and communications theory; Pattern recognition. Digital image processing. Computational geometry; Quality of service; Quality-of-service (QoS); Routing; Signal and communications theory; Software; spatial correlation; Telecommunications and information theory; video compression; Visualization; Wireless communication; Wireless sensor networks; wireless video sensor networks; Video coding; Energy consumption; Data compression; Spatial correlation; Optimization; Delay; wireless video sensor networks; Image coding; Quality-of-service (QoS); Load balancing; Network splitting; Redundancy; Measurement sensor; Routing; Image compression; Distributed system; Information delivery; Energy savings; video compression; Traffic management; Wireless network; Visual information; Reliability; Sensor array; Service quality; Traffic congestion
• ISSN: 1520-9210; 1941-0077
• DOI: 10.1109/TMM.2012.2194992

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.