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Joint data and connection topology recovery in collaborative wireless sensor networks

Abstract : 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.
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Contributor : Alain Kibangou <>
Submitted on : Monday, April 22, 2013 - 5:02:05 PM
Last modification on : Wednesday, May 13, 2020 - 4:16:01 PM
Document(s) archivé(s) le : Tuesday, July 23, 2013 - 4:14:25 AM


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  • HAL Id : hal-00816687, version 1


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



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