Fast Distributed Estimation of Empirical Mass Functions over Anonymous Networks

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Terelius, H (Author) Other; Varagnolo, D (Author) Other; Baquero, C (Author) Other; Johansson, KH (Author) Other

Conference proceedings International

Title: Proceedings of the IEEE Conference on Decision and Control

Pages: 6771-6777

52nd IEEE Conference on Decision and Control, CDC 2013

Florence, 10 December 2013 through 13 December 2013

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 5 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7