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Conference Papers Year : 2017

A hybrid ant-genetic algorithm to solve a real deployment problem: a case study with experimental validation

Abstract

In this paper, we investigate the problem of deploying 3D nodes in a wireless sensor network. The aim is to choose the ideal 3D locations to add new nodes to an initial configuration of nodes, while optimizing a set of objectives. In this regard, our study proposes a new hybrid algorithm which stems from the ant foraging behavior and the genetics. It is based on a recent variant of the genetic algorithms (NSGA-III) and the Ant Colony Optimization algorithm. The obtained numerical results and the simulations compared with experiments prove the effectiveness of the proposed approach.
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Dates and versions

hal-01913676 , version 1 (06-11-2018)

Identifiers

  • HAL Id : hal-01913676 , version 1
  • OATAO : 19110

Cite

Sami Mnasri, Nejah Nasri, Adrien van den Bossche, Thierry Val. A hybrid ant-genetic algorithm to solve a real deployment problem: a case study with experimental validation. International Conference on Ad Hoc Networks and Wireless (AdHoc-Now 2017), Sep 2017, Messina, Italy. pp. 367-381. ⟨hal-01913676⟩
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