Identification in sensor networks

Authors:
Constantin Volosencu
Affiliations:
Department of Automatics and Applied Informatics, "Politehnica" University of Timisoara, Timisoara, Romania
Venue:
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Year:
2008

Citing 7
Cited 7

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Abstract

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 characteristics of the sensor networks, distributed parameters systems and identification techniques. An examples of application of modeling of distributed systems in sensor networks and identification based on multivariable identification with auto-regression and neural network is presented.