Spread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Design

• Published in: IEEE transactions on multimedia Vol. 13; no. 1; pp. 125 - 131
• Main Authors: Bentley, E S, Kondi, L P, Matyjas, J D, Medley, M J, Suter, B W
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2011; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Bit rate; Channel coding; Code division multiple access (CDMA); Coding, codes; Computer science; control theory; systems; Computer systems and distributed systems. User interface; convolutional codes; cross-layer; Exact sciences and technology; H.264; Information, signal and communications theory; joint source-channel coding; Language processing and microprogramming; Multiaccess communication; multimedia communications; Optimization; power control; PSNR; resource allocation; Signal and communications theory; Software; Source coding; spread spectrum; Telecommunications and information theory; visual sensor network; Visualization; Video coding; joint source-channel coding; multimedia communications; visual sensor network; Source coding; Convolutional code; H.264; Resource allocation; Transmission protocol; Code division multiple access (CDMA); Network management; cross-layer; Multimedia communication; Optimization; Image quality; Power control; Code division multiple access; Error correcting code; Spread spectrum; Resource management; Sensor array; convolutional codes
• ISSN: 1520-9210; 1941-0077
• DOI: 10.1109/TMM.2010.2086441

In this paper, we propose an approach to manage network resources for a direct sequence code division multiple access (DS-CDMA) visual sensor network where nodes monitor scenes with varying levels of motion. It uses cross-layer optimization across the physical layer, the link layer, and the application layer. Our technique simultaneously assigns a source coding rate, a channel coding rate, and a power level to all nodes in the network based on one of two criteria that maximize the quality of video of the entire network as a whole, subject to a constraint on the total chip rate. One criterion results in the minimal average end-to-end distortion amongst all nodes, while the other criterion minimizes the maximum distortion of the network. Our experimental results demonstrate the effectiveness of the cross-layer optimization.