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JOINT DATA AND CONNECTION TOPOLOGY RECOVERY IN COLLABORATIVE WIRELESS SENSOR NETWORKS

By André L. F. De Almeida, Alain Y. Kibangou, Sebastian Miron and Daniel C. Araújo

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. Index Terms — Blind estimation, wireless sensor networks, tensor modeling, PARALIND. 1

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.422.5686
Provided by: CiteSeerX
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