A novel approach to grid sensor networks
Duminda A. Dewasurendra, Peter H. Bauer · 2008
A novel approach to information processing in grid sensor networks is presented. Based on the Fornasini-Marchesini (FM) model, this highly scalable method can implement any general linear system in a grid sensor network in a fully distributed manner. It can significantly reduce the communication overhead and enable local actuation in response to local events. Quantization effects on the stability of such distributed filters are briefly discussed with models for quantization nonlinearities. A real world implementation of this distributed processing method on a sensor network is also presented.