Grouping of a set of Secondary Surveillance Radar (SSR) Mode S stations into functional entities called clusters has significant operational facets; it calls for a constrained optimization, an important significant constraint being the scarcity of Interrogation Identifier (II) codes. This clustering problem can be approached by two ways, i.e., integer programming methods and heuristic approaches. The definition of a general, usable decision support tool to build up and evaluate clustering strategies in any operational airspace, e.g. the one of a nation or, even more complicated, of a system such as the European one, is a very challenging task. This paper describes some steps toward this envisaged result proposing a mathematical formulation and a heuristic approach for the problem.

Galati, G., Caramia, M., Piracci, E.g., Gelli, S. (2008). Clustering methods for Mode S stations: Evaluation and perspectives. AIR TRAFFIC CONTROL QUARTERLY, 16(3), 171-185.

Clustering methods for Mode S stations: Evaluation and perspectives

GALATI, GASPARE;CARAMIA, MASSIMILIANO;PIRACCI, EMILIO GIUSEPPE;
2008-01-01

Abstract

Grouping of a set of Secondary Surveillance Radar (SSR) Mode S stations into functional entities called clusters has significant operational facets; it calls for a constrained optimization, an important significant constraint being the scarcity of Interrogation Identifier (II) codes. This clustering problem can be approached by two ways, i.e., integer programming methods and heuristic approaches. The definition of a general, usable decision support tool to build up and evaluate clustering strategies in any operational airspace, e.g. the one of a nation or, even more complicated, of a system such as the European one, is a very challenging task. This paper describes some steps toward this envisaged result proposing a mathematical formulation and a heuristic approach for the problem.
2008
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore ING-INF/03 - Telecomunicazioni
English
Con Impact Factor ISI
Surveillance, Mode S, Sensors networks, Clustering, Optimization on graph.
Galati, G., Caramia, M., Piracci, E.g., Gelli, S. (2008). Clustering methods for Mode S stations: Evaluation and perspectives. AIR TRAFFIC CONTROL QUARTERLY, 16(3), 171-185.
Galati, G; Caramia, M; Piracci, Eg; Gelli, S
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/37071
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