Fast Distributed Estimation of Empirical Mass Functions over Anonymous Networks

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Terelius, H (Autor) Outra; Varagnolo, D (Autor) Outra; Baquero, C (Autor) Outra; Johansson, KH (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of the IEEE Conference on Decision and Control

Páginas: 6771-6777

52nd IEEE Conference on Decision and Control, CDC 2013

Florence, 10 December 2013 through 13 December 2013

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 5 Citações

Outras Informações

ID Authenticus: P-009-JD1

DOI: 10.1109/CDC.2013.6760962

Abstract (EN): The aggregation and estimation of values over networks is fundamental for distributed applications, such as wireless sensor networks. Estimating the average, minimal and maximal values has already been extensively studied in the literature. In this paper, we focus on estimating empirical distributions of values in a network with anonymous agents. In particular, we compare two different estimation strategies in terms of their convergence speed, accuracy and communication costs. The first strategy is deterministic and based on the average consensus protocol, while the second strategy is probabilistic and based on the max consensus protocol.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7