Simulation to help calibration of a MEMS sensor network

The Smart Surface1project aims at designing an integrated micro-manipulator based on an array of micromodules connected with a 2D array topology network. Each micromodule comprises a sensor, an actuator and a processing unit. One of the aims of the processing unit is to differentiate the shape of the part that is put on top of the Smart Surface. From a set of shapes this differentiation is done through a distributed algorithm that we call a criterion. The article presents Sensor Network Calibrator (SNC), a calibrator which allows to parametrize the Smart Surface and to determine the necessary number of sensors required by our Smart Surface. The tests will show that SNC is of great importance for choosing the number of sensors, and therefore to determine the size of the sensors grid. Key-words: shape differentiation, distributed computing, MEMS Laboratoire d’Informatique de l’Université de Franche-Comté, Antenne de Montbéliard — UFR STGI, Pôle universitaire du Pays de Montbéliard, 25200 Montbéliard Cedex (France) Téléphone : +33 (0)3 81 99 47 43 — Télécopie +33 (0)3 81 99 47 91 Simulation pour aider à la calibration d’un réseau de capteurs MEMS Résumé : Mots-clés : Laboratoire d’Informatique de l’Université de Franche-Comté, Antenne de Montbéliard — UFR STGI, Pôle universitaire du Pays de Montbéliard, 25200 Montbéliard Cedex (France) Téléphone : +33 (0)3 81 99 47 43 — Télécopie +33 (0)3 81 99 47 91 Simulation to help calibration of a MEMS sensor network 7