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The 3D indoor deployment in DL-IoT with experimental validation using a particle swarm algorithm based on the dialects of songs

Mnasri, Sami and Nasri, Nejah and Val, Thierry The 3D indoor deployment in DL-IoT with experimental validation using a particle swarm algorithm based on the dialects of songs. (2018) In: 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018), 25 June 2018 - 29 June 2018 (Limassol, Cyprus).

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Abstract

The 3D indoor redeployment of connected objects in IoT collection networks is a complex problem that influences the overall performance of the network. In this paper, we aim to resolve this problem using a real prototyping system based on a real-world deployment. The aim is to choose the best positions to add a set of connected objects while optimizing a set of objectives. The used approach is based on a new hybrid optimization algorithm that combines a strategy of incorporation of user preferences (PI-EMO-VF) with a many-objective variant of the genetic algorithms (NSGA-III). The obtained numerical results and the real experiments on our testbeds prove the effectiveness of the proposed approach compared with another recent optimization algorithm (MOEA/DD).

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02319744
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > École Nationale d'Ingénieurs de Sfax - ENIS (TUNISIA)
Other partners > Université de Sfax (TUNISIA)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:02 Oct 2019 14:21

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