Distributed part differentiation in a smart surface

Distributed differentiation of parts in a smart surface is considered. Synchronous and asynchronous distributed discrete state acquisition algorithms are proposed; their convergence is studied and implementation models are given. Distributed part differentiation methods are proposed. A multithreaded Java Smart Surface Simulator (SSS) which runs on multi-core machines is presented. A series of computational results obtained with SSS is given and analyzed.