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Réseaux de collecte de données pour les zones blanches étendues

Abstract : Although wide white areas are not equipped or sparsely equipped with any infrastructure (energy, roads ...), strategic human activities are being carried out such as mines, forest, pipeline... To tackle the problem of deploying sensor networks in a very large area where few infrastructures are available, we propose a network deployment algorithm which aims at efficiently linking sparse points of interest in a very wide white area. The originality of the proposed method is that it mimics the evolution of a type of mold called physarum. Secondly, we aim at overcoming the deployment problem in wide white areas by using long range communication between an aircraft and earth. The new data collection scheme he proposes is based on the use of commercial flights to collect data while they cross over an area of interest. It investigates the feasibility of such a scheme by determining the collection capacity of commercial aircraft in different locations of the desert. Finally, we mixed both solutions do repatriate data from sensors not covered by any flight to a covered data sink that relays data to the aircraft.
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Submitted on : Friday, December 20, 2019 - 1:33:08 PM
Last modification on : Wednesday, October 14, 2020 - 3:41:37 AM
Long-term archiving on: : Saturday, March 21, 2020 - 4:53:03 PM


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  • HAL Id : tel-02421314, version 1


Djibrilla Incha Adamou. Réseaux de collecte de données pour les zones blanches étendues. Réseaux et télécommunications [cs.NI]. Université Paris-Saclay, 2019. Français. ⟨NNT : 2019SACLS457⟩. ⟨tel-02421314⟩



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