db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>

%T A Versatile Hardware\-Software Platform for In\-Situ Monitoring Systems
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
%A  Bernhard H.C. Sputh,  Oliver Faust,  Alastair R. Allen
db_connect: Could not connect to paper db at "wotug@dragon.kent.ac.uk"<br>
%E  Alistair A. McEwan,  Steve Schneider,  Wilson Ifill, Peter H. Welch
%B Communicating Process Architectures 2007
%X In\-Situ Monitoring systems measure and relay environmental
   parameters.
From a system design perspective such devices
   represent one node in a network. This paper aims to extend
   the networking idea from the system level towards the design
   level. We describe In\-Situ Monitoring systems as network of
   components. In the proposed design these components can be
   implemented in either hardware or software. Therefore, we
   need a versatile hardware\-software platform to accommodate
   the particular requirements of a wide range of In\-Situ
   Monitoring systems. The ideal testing ground for such a
   versatile hardware\-software platform are FPGAs (Field
   Programmable Gate Arrays) with embedded CPUs. The CPUs
   execute software processes which represent software
   components. The FPGA part can be used to implement hardware
   components in the form of hardware processes and it can be
   used to interface to other hardware components external to
   the processor. In effect this setup constitutes a network of
   communicating sequential processes within a chip. This paper
   presents a design flow based on the theory of CSP. The idea
   behind this design flow is to have a CSP model which is
   turned into a network of hardware and software components.
   With the proposed design flow we have extended the
   networking aspect of sensor networks towards the system
   design level. This allows us to treat In\-Situ Measurement
   systems as sub\-networks within a sensor network.
   Furthermore, the CSP based approach provides abstract models
   of the functionality which can be tested. This yields more
   reliable system designs.