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10th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'04)   p. 296
CAMRIT: Control-based Adaptive Middleware for Real-time Image Transmission
Xiaorui Wang, Washington University, St.Louis, MO
Huang-Ming Huang, Washington University, St.Louis, MO
Venkita Subramonian, Washington University, St.Louis, MO
Chenyang Lu, Washington University, St.Louis, MO
Christopher Gill, Washington University, St.Louis, MO

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/RTTAS.2004.1317275
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Abstract
Real-time image transmission is crucial to an emerging class of distributed embedded systems operating in open network environments. Examples include avionics mission re-planning over Link-16, security systems based on wireless camera networks, and online collaboration using camera phones. Meeting image transmission deadlines is a key challenge in such systems due to unpredictable network conditions. In this paper, we present CAMRIT, a Control-based Adaptive Middleware framework for Real-time Image Transmission in distributed real-time embedded systems. CAMRIT features a distributed feedback control loop that meets image transmission deadlines by dynamically adjusting the quality of image tiles. We derive an analytic model that captures the dynamics of a distributed middleware architecture. A control theoretic methodology is applied to systematically design a control algorithm with analytic assurance of system stability and performance, despite uncertainties in network bandwidth. Experimental results demonstrate that CAMRIT can provide robust real-time guarantees for a representative application scenario.
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Citation:  Xiaorui Wang, Huang-Ming Huang, Venkita Subramonian, Chenyang Lu, Christopher Gill, "CAMRIT: Control-based Adaptive Middleware for Real-time Image Transmission," rtas, p. 296,  10th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'04),  2004