ViRe: Virtual Reconfiguration Framework for Embedded Processing in Distributed Image Sensors
Source: University of California
Image processing applications introduce new challenges to the design of sensor network systems via non-trivial in-network computation. As embedded processing becomes more complex, in-situ reconfiguration is seen as the key enabling technology to maintain and manage such systems. In dynamic event-driven heterogeneous sensor networks, reconfiguration also encompasses autonomous re-partitioning of applications across multiple tiers to provide a low-power responsive system by efficiently coping with variations in run-time resource usage and availability. Hence, the authors aim to provide an efficient lowpower macro-programming environment that supports multidimensional software reconfiguration of heterogeneous imaging networks.