A cross-layer-based rate control method for distributed video coding

Kim, Chul Keun; Suh, Doug Young

doi:10.1109/pacrim.2009.5291254

Cited by 1 publication

(2 citation statements)

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“…The work presented in [ 66 ] proposes a rate control method that considers the channel loss and the correlation of video images, providing more resilience to packet errors when transmitting DVC encoded video. The rate adjustment is performed controlling the quantization parameters of the DVC encoding, adjusting the number of parity bits for error-resilience.…”

Section: Multimedia-based Cross-layer Optimization In Vsnsmentioning

confidence: 99%

“…Both works presented in [ 65 ] and [ 66 ] adjust the amount of parity data according to the current state of the network and/or the relevance of the transmitted coded data. Despite the fact that their results contribute to error recovery in VSNs where DVC is employed, neither of them conducts sufficient analysis on the energy consumption in source nodes throughout the active paths.…”

Section: Multimedia-based Cross-layer Optimization In Vsnsmentioning

confidence: 99%

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A Survey on Multimedia-Based Cross-Layer Optimization in Visual Sensor Networks

Costa

Guedes

2011

Sensors

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Visual sensor networks (VSNs) comprised of battery-operated electronic devices endowed with low-resolution cameras have expanded the applicability of a series of monitoring applications. Those types of sensors are interconnected by ad hoc error-prone wireless links, imposing stringent restrictions on available bandwidth, end-to-end delay and packet error rates. In such context, multimedia coding is required for data compression and error-resilience, also ensuring energy preservation over the path(s) toward the sink and improving the end-to-end perceptual quality of the received media. Cross-layer optimization may enhance the expected efficiency of VSNs applications, disrupting the conventional information flow of the protocol layers. When the inner characteristics of the multimedia coding techniques are exploited by cross-layer protocols and architectures, higher efficiency may be obtained in visual sensor networks. This paper surveys recent research on multimedia-based cross-layer optimization, presenting the proposed strategies and mechanisms for transmission rate adjustment, congestion control, multipath selection, energy preservation and error recovery. We note that many multimedia-based cross-layer optimization solutions have been proposed in recent years, each one bringing a wealth of contributions to visual sensor networks.

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Section: Multimedia-based Cross-layer Optimization In Vsnsmentioning

confidence: 99%

Section: Multimedia-based Cross-layer Optimization In Vsnsmentioning

confidence: 99%