OPTIMAL DESIGN OF DISTRIBUTED SENSOR NETWORKS FOR FIELD RECONSTRUCTION

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

Autores

Sergio Pequito (Autor) Outra; Stephen Kruzick (Autor) Outra; Soummya Kar (Autor) Outra; Jose M F Moura (Autor) Outra; Pedro Aguiar, AP (Autor) FEUP

Ata de Conferência Internacional

Título: 2013 PROCEEDINGS OF THE 21ST EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)

Páginas: 1-5

21st European Signal Processing Conference (EUSIPCO)

Marrakesh, MOROCCO, SEP 09-13, 2013

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 9 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-009-KND

Abstract (EN): The paper introduces a method by which to design the topology of a distributed sensor network that is minimal with respect to a communication cost function. In the scenario considered, sensor nodes communicate with each other within a graph structure to update their data according to linear dynamics using neighbor node data. A subset of sensors can also report their state to a central location. One physical interpretation of this situation would be a set of spatially distributed wireless sensors which can communicate with other sensors within range to update data and can possibly connect to a network backbone. The costs would then be related to transmission energy. The objective is to recover the vector of initial sensor measurements from the backbone outputs over time, which requires that the dynamics of the overall networked system be observable. The topology of the network is then determined by the nonzero elements of the optimal observable dynamics. The following text contributes an efficient algorithm for designing the optimal observable dynamics and the network topology for a given set of sensors and cost function, providing proof of correctness and example implementation.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5