Evolvable Systems: From Biology to Hardware

Volume 5216 of the series Lecture Notes in Computer Science pp 94-105

Self-Adaptive Networked Entities for Building Pervasive Computing Architectures

  • Martin DanekAffiliated withDepartment of Signal Processing, UTIA AV CR
  • , Jean-Marc PhilippeAffiliated withCEA, LIST
  • , Petr HonzikAffiliated withDepartment of Signal Processing, UTIA AV CR
  • , Christian GamratAffiliated withCEA, LIST
  • , Roman BartosinskiAffiliated withDepartment of Signal Processing, UTIA AV CR

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This paper presents a framework for building and modeling a new-generation self-adaptive systems. The first part of the paper proposes an architecture of a self-adaptive networked entity that forms the basic element of the approach. The second part describes a modeling environment based on Matlab / Simulink and one possible implementation of the self-adaptive networked entity. A physical realization of the proposed system is demonstrated on the computation of a simple FIR filter in several FPGAs acting as hardware in the loop in Matlab / Simulink.