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The 3D Redeployment of Nodes in Wireless Sensor Networks with Real Testbed Prototyping

Abstract : The use of real prototyping systems allows implementing real-world deployments which permit evaluating new protocols, algorithms and network solutions. This study covers the problem of 3D indoor redeployment of connected objects in DL-IoT collection networks. The objective is to choose the right positions in which connected objects are added to an initial configuration, while optimizing a set of objectives. The approach used to solve this problem is based on a new hybrid optimization algorithm that combines a strategy of incorporation of user preferences (PI-EMO-VF) with a recent variant of the genetic algorithms (NSGA-III). The obtained numerical results and the real experiments on our testbed prove the effectiveness of the proposed approach compared to another recent optimization algorithm (MOEA/DD).
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Submitted on : Thursday, November 15, 2018 - 11:08:33 AM
Last modification on : Thursday, November 12, 2020 - 10:26:03 AM
Long-term archiving on: : Saturday, February 16, 2019 - 12:32:35 PM


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  • HAL Id : hal-01913689, version 1
  • OATAO : 19109


Sami Mnasri, Adrien van den Bossche, Nejah Nasri, Thierry Val. The 3D Redeployment of Nodes in Wireless Sensor Networks with Real Testbed Prototyping. International Conference on Ad Hoc Networks and Wireless (AdHoc-Now 2017), Sep 2017, Messina, Italy. pp. 18-24. ⟨hal-01913689⟩



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