Distributed Minimum Euclidean Distance based Precoding for Wireless Sensor Network

Viet-Hoa Nguyen 1 Charlotte Langlais 2, 3 Baptiste Vrigneau 1 Olivier Berder 1
1 CAIRN - Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
2 Lab-STICC_TB_CACS_IAS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Among various cooperative techniques aiming to reduce power consumption for Wireless Sensor Network (WSN), we present a new approach, named distributed max-dmin precoding (DMP). This protocol is based on the deployment of a virtual 2 × 2 max-dmin precoding over one source, one forwarding relay, both equipped with one antenna and a destination involving 2 antennas. In this context, two kinds of relaying, amplify and forward or decode and forward protocols, are investigated. The performance evaluation in terms of Bit-Error-Rate (BER) and energy efficiency will be compared with non cooperative techniques (SISO, SIMO) and the distributed space time block code (STBC) scheme. Our investigations show that the DMP takes the advantage in terms of energy efficiency from medium transmission distances.
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Viet-Hoa Nguyen, Charlotte Langlais, Baptiste Vrigneau, Olivier Berder. Distributed Minimum Euclidean Distance based Precoding for Wireless Sensor Network. International Conference on Computing, Networking and Communications (ICNC), IEEE, Feb 2015, Anaheim, United States. ⟨hal-01121146⟩

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