OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible 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.
The authors in REF suggest a hybrid algorithm called AcNSGA-III that hybridizes the Ant Colony Optimization with the NSGA-III to solve the problem of 3D indoor deployment.
A Hybrid Ant-Genetic Algorithm to Solve a Real Deployment Problem: A Case Study with Experimental Validation
ADHOC-NOW
Computer Science