DIAS is a collaborative project funded under the EPSRC WINES Programme. The overall goal of the project is to develop methods and tools for the design, implementation, and adaptation of entire environmental sensor network systems. Each resulting sensor network is optimal with respect to a global cost function specified by the network designer.
The hypothesis is that by simultaneously considering the system requirements for each of the primary design dimensions of an environmental sensor network, and armed with the expression of a global cost function for the system, co-design techniques can be used to generate heuristically optimal designs. Generative programming techniques can then be used to realize an implementation that matches the optimal design.
The project combines the expert compentencies of five institutions: University of Glasgow Computing Science (network management and formal methods), University of Kent at Canterbury Computer Science and Electronics (hardware and operating systems for environmental sensors), University of Manchester Computer Science (stream data management and environmental monitoring), University of St Andrews Computer Science (generative programming and adaptive systems), and University of Strathclyde Electronic and Electrical Engineering (radio communications).
Additionally, the following companies are providing support, both in kind and manpower, for the work: Xilinx, Orange, inteliSYS, and Severn Trent Water.
More details of the project may be obtained from the case for support and by following the links in the menu to the left.
