In this paper a sensor data fusion procedure for electromagnetic field monitoring is proposed. Distributed sensing and remote processing are the basic features of the employed architecture. In fact, in order to obtain meaningful information about the temporal and spatial variations, which characterize the electromagnetic field levels, a distributed network of wireless and mobile smart-sensors has been designed. The monitored region is a wide urban area, partitioned in small local zones. Each mobile station has the task to explore a specific zone. The qualification of the sensor network is achieved by the possibility to configure dynamically the partitioning of investigated area according to the needs. The refresh time of monitoring map, the thickness of the grid, the choice of sampling points and their locations are consequence of an experiment design and function of several influence parameters. Acquired data are sent in a short time to a processing unit for performing the fusion procedure. A two-level decision approach has been employed. For each local zone, a first algorithm extracts a local decision concerning warning or alert situations. This step permits to reduce data amount and perform a preliminary data fusion starting from the reliability information on the single sensor. A second procedure realizes the final aggregation of data extracting a global decision and a 'picture' about the behaviour of electromagnetic field levels. Local decisions and correlated information are aggregated in order to obtain a meaningful and a higher-quality 'image' of monitored phenomenon according to desired performances.
A sensor data fusion approach for remote sensing and processing of em field levels with a configurable area partitioning / De Capua, C.; DE FALCO, Stefano; Liccardo, Annalisa; Morello, R.. - STAMPA. - 2005:(2005), pp. 1522817.14-1522817.18. (Intervento presentato al convegno 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2005 tenutosi a Giardini, Naxos, ita nel 2005) [10.1109/CIMSA.2005.1522817].
A sensor data fusion approach for remote sensing and processing of em field levels with a configurable area partitioning
DE FALCO, STEFANO;LICCARDO, ANNALISA;
2005
Abstract
In this paper a sensor data fusion procedure for electromagnetic field monitoring is proposed. Distributed sensing and remote processing are the basic features of the employed architecture. In fact, in order to obtain meaningful information about the temporal and spatial variations, which characterize the electromagnetic field levels, a distributed network of wireless and mobile smart-sensors has been designed. The monitored region is a wide urban area, partitioned in small local zones. Each mobile station has the task to explore a specific zone. The qualification of the sensor network is achieved by the possibility to configure dynamically the partitioning of investigated area according to the needs. The refresh time of monitoring map, the thickness of the grid, the choice of sampling points and their locations are consequence of an experiment design and function of several influence parameters. Acquired data are sent in a short time to a processing unit for performing the fusion procedure. A two-level decision approach has been employed. For each local zone, a first algorithm extracts a local decision concerning warning or alert situations. This step permits to reduce data amount and perform a preliminary data fusion starting from the reliability information on the single sensor. A second procedure realizes the final aggregation of data extracting a global decision and a 'picture' about the behaviour of electromagnetic field levels. Local decisions and correlated information are aggregated in order to obtain a meaningful and a higher-quality 'image' of monitored phenomenon according to desired performances.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
