Decentralized Time-Constrained Scheduling for Sensor Network in Identification of Distributed Parameter Systems

An efficient approach to determine an activation policy for scanning sensor network monitoring a distributed process over some spatial domain is proposed. The scheduling problem is defined so as to maximize a criterion defined on the Fisher information matrix associated with the estimated parameters. Then, adopting pairwise communication schemes, the multi-exchange procedure is developed, which distributes the configuration process between the network nodes and take account to power consumption constraints. The approach is illustrated through an example on a sensor network scheduling problem for a convective diffusion process.