Joint data and connection topology recovery in collaborative wireless sensor networks

André L. F. de Almeida (1) , Alain Kibangou (2) , Sebastian Miron (3) , Daniel Araùjo (1)

1 GTEL - Wireless Telecom Research Group [Fortaleza]
2 NECS - Networked Controlled Systems
3 CRAN - Centre de Recherche en Automatique de Nancy

This work considers a collaborative wireless sensor network where nodes locally exchange coded informative data before transmitting the combined data towards a remote fusion center equipped with an antenna array. For this communication scenario, a new blind estimation algorithm is developed for jointly recovering network transmitted data and connection topology at the fusion center. The proposed algorithm is based on a two-stage approach. The first stage is concerned with the estimation of the channel gains linking the nodes to the fusion center antennas. The second stage performs a joint estimation of network data and connection topology matrices by exploiting a constrained (PARALIND) tensor model for the collected data at the fusion center. Illustrative simulation results evaluate the performance of the proposed algorithm for some system configurations and network topologies.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Automatique

André L. F. de Almeida, Alain Kibangou, Sebastian Miron, Daniel Araùjo. Joint data and connection topology recovery in collaborative wireless sensor networks. ICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.5303-5307. ⟨hal-00816687⟩