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Communication Dans Un Congrès Année : 2023

Optimizing IoT Networks Deployment Under Connectivity Constraint For Dynamic Digital Twin

Résumé

The integration of IoT devices will play a key role in linking cyber and physical spaces. Combined with Digital Twin, these devices are mandatory for the development of the Metaverse. They will provide it with a nervous system by collecting, transforming and distributing the data in real time, generating a Dynamic Digital Twin. However, the cost of deploying IoT networks is a major barrier to the growth of this new technology. Optimizing this deployment is tedious particularly in complex environments, as the devices require connectivity, which is a constraint to be taken into account in addition to the objective of maximizing coverage. In this paper, we propose a new two-step method named PREP-NSGA to optimize IoT indoor deployments considering connectivity constraints, attenuation of the coverage, and heterogeneous obstacles whose information is extracted from the Digital Twin database. The first step of PREP-NSGA consists of a preprocessing based on the skeleton extraction of the structure, while the second step is a pareto-based multi-objective genetic algorithm. The performance evaluation is conducted using numerical and simulation tools on both real and computer-generated scenarios. The obtained results show that the proposed solution PREP-NSGA outperforms existing solutions and random deployments in terms of coverage within connectivity constraint.
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Dates et versions

hal-04491276 , version 1 (06-03-2024)

Identifiants

Citer

Aurélien Chambon, Abderrahim Sahli, Abderrezak Rachedi, Ahmed Mebarki. Optimizing IoT Networks Deployment Under Connectivity Constraint For Dynamic Digital Twin. 2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Jun 2023, Kyoto, Japan. pp.474-480, ⟨10.1109/MetaCom57706.2023.00088⟩. ⟨hal-04491276⟩
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