Localization is a fundamental task for sensor networks. Traditional network localization approaches allow to obtain localized networks requiring the nodes to be at least tri-connected (in 2D), i.e., the communication graph needs to be globally rigid. In this paper we exploit, besides the information on the neighbors sensed by each robot\/sensor, also the information about the lack of communication among nodes. The result is a framework where the nodes need to be at least bi-connected and the communication graph has to be rigid. This is possible considering a novel typology of link, namely Shadow Edge, that accounts for the lack of communication among nodes and allows to reduce the uncertainty associated to the position of the nodes.

Oliva, G., Panzieri, S., Pascucci, F., Setola, R. (2013). Network localization by Shadow Edges. In Proceedings of European Control Conference (ECC), 2013 (pp.2263-2268).

Network localization by Shadow Edges

PANZIERI, Stefano;PASCUCCI, Federica;
2013-01-01

Abstract

Localization is a fundamental task for sensor networks. Traditional network localization approaches allow to obtain localized networks requiring the nodes to be at least tri-connected (in 2D), i.e., the communication graph needs to be globally rigid. In this paper we exploit, besides the information on the neighbors sensed by each robot\/sensor, also the information about the lack of communication among nodes. The result is a framework where the nodes need to be at least bi-connected and the communication graph has to be rigid. This is possible considering a novel typology of link, namely Shadow Edge, that accounts for the lack of communication among nodes and allows to reduce the uncertainty associated to the position of the nodes.
2013
978-3-033-03962-9
Oliva, G., Panzieri, S., Pascucci, F., Setola, R. (2013). Network localization by Shadow Edges. In Proceedings of European Control Conference (ECC), 2013 (pp.2263-2268).
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/267819
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 11
social impact