SMART aims for the following quantified objectives:

1. Design and Implement a sophisticated WSN node, based on low-power miniaturised Reconfigurable Devices. Based on TSI’s preliminary results regarding the power consumption when certain encryption and data compression functions are implemented in Reconfigurable devices, the measured power ranges from 50 to 900mW depending on the algorithm utilised; those numbers are 10 up to 1000 times lower than the power consumption of a low-power CPU executing the exact same tasks. We assume that the sophisticated node will consume at most half of the overall power consumed when the exact same functionality is supported by a WSN node based on a low-power general purpose CPU.
2. Develop a new reconfigurable processing unit that has built-in real-time reconfigurable technology and a very low-power CPU for power efficient processing in WSN environments. This reconfigurable device will consume at most half of the power consumed by the off-the-shelves reconfigurable devices implementing the exact same functions./li>
3. Implement in the Reconfigurable Devices adaptations of existing innovative encryption and authentication schemes addressing the WSNs’ requirements./li>
4. Implement in the Reconfigurable Devices adaptations of existing innovative data compression algorithms tailored to the WSNs’ requirements./li>
5. Implement in the Reconfigurable Devices adaptations of existing innovative video compression algorithms tailored to the WSNs’ requirements./li>
6. Develop a mechanism for sensing the environment and re-configuring the Reconfigurable Devices in real-time, taking into consideration the work done in RUNES./li>
7. Implement highly-secure nodes providing high resistance to side-channel attacks. The encryption schemes implemented in the provided nodes will be able to resist to the already proposed ordinary SPA and DPA attacks./li>
8. Design and implement a flexible, context-dependent and modular middleware to support the implementation of applications, peculiarities of the underlying sensors and tags dynamically discovered in the deployment environment. This middleware will enable the seamless programming, configuration and management of the SMART infrastructure./li>
9. Prototype and validate SMART’s complete infrastructure in a large real-world trial consisting of sensors/motes and cameras based on both off-the-shelf low-power FPGAs and RASIPs. Since we are covering the area of the highly sophisticated Video-capable WSN nodes in this project, and not the highly miniaturised very simple ones, we will implement a real-world scenario with at least 40 SMART nodes, each of which will accommodate different sensors (from cameras to noise and temperature sensors)./li>