2005 4th International Workshop on Information Processing in Sensor Networks

• Pubblicazione: [Place of publication not identified], : I E E E, 2005
• Descrizione fisica: 1 online resource
• Disciplina: 025.04
• Soggetto topico: Information networks; Multisensor data fusion; Sensor networks
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Sommario/riassunto: We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a simple distributed iterative scheme, based on distributed average consensus in the network, to compute the maximum-likelihood estimate of the parameters. This scheme doesn't involve explicit point-to-point message passing or routing; instead, it diffuses information across the network by updating each node's data with a weighted average of its neighbors' data (they maintain the same data structure). At each step, every node can compute a local weighted least-squares estimate, which converges to the global maximum-likelihood solution. This scheme is robust to unreliable communication links. We show that it works in a network with dynamically changing topology, provided that the infinitely occurring communication graphs are jointly connected.
• Titolo autorizzato: 2005 4th International Workshop on Information Processing in Sensor Networks
• ISBN: 1-5090-9770-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910146778903321
• Lo trovi qui: Univ. Federico II