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Communication Dans Un Congrès Année : 2018

Decentralized clustering algorithm over compressed data

Résumé

This paper considers clustering in a network of sensors. It introduces a novel decentralized clustering algorithm that reduces the sensor energy consumption by considering data compression. The proposed clustering algorithm does not require the knowledge of the number of clusters and greatly reduces the amount of data exchange between sensors.
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Dates et versions

hal-01847318 , version 1 (23-07-2018)

Identifiants

  • HAL Id : hal-01847318 , version 1

Citer

Elsa Dupraz, Dominique Pastor. Decentralized clustering algorithm over compressed data. National Conference on Information Theory and Complex Systems (TINKOS), Jun 2018, Belgrade, Serbia. ⟨hal-01847318⟩
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