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Les codes à métrique de rang et leurs applications dans les réseaux Smart Grid

Abstract : This thesis considers the context of transmissions on CPL-BE networks and low-capacity sensor networks. The state of the art on information protection intransmission by sensor networks refers to the use of distributed coding, where therelays implement parity operations (mixing of streams) on data transmitted by thesensors. However, due to the varying nature of the quality of the wireless links, it is difficult to control the quality of the equivalent encoder constructed and to maintain its performance over time. Therefore, in this thesis, we have focused on the search for different coding schemes that are better resist the variation in the quality of the links across the network. Our choice was based on the sub-space coding inspired by Gabidulin's work. The goal is to form a code that uses a simple and resistant metric to secure transmission across the network. Rank metric codes respond well to this need because it only has to control the rank of the matrix obtained in reception to verify the integrity of the transmission. The rank metric codes and their decoding algorithm were studied in a first step. Then, the performance of the proposed LRPC code concatenated with the convolutional codes is tested in transmission schemes of different contexts.
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Abdul Karim Yazbek. Les codes à métrique de rang et leurs applications dans les réseaux Smart Grid. Traitement du signal et de l'image [eess.SP]. Université de Limoges, 2017. Français. ⟨NNT : 2017LIMO0091⟩. ⟨tel-01708257⟩

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