Plenary lecture VII: identification in sensor networks
Constantin Voloşencu · International Conference on Information and Automation · 2008
In the last years sensor networks have proved their huge viability in the real world, even if their resources in terms of energy, memory, computational power and bandwidth are strictly limited. One of the important problems related to the usage of wireless sensor networks in harsh environments is the identification of the states of the physical variables in the field based on the measurements provided by the sensors. The sensor networks allow the usage of the multivariable estimation techniques in distributed systems. The paper presents a short survey of some identification techniques and some characteristics of the sensor networks. Some examples of applications of modeling of distributed systems in sensor networks and identification based on multivariable identification with auto-regression and neural networks are presented.