MITIGATING INTERFERENCE LINKED TO MATERIAL COMPOSITION FOR WIRELESS SENSOR NETWORK DEPLOYMENT IN REAL THREE-DIMENSIONAL INDOOR SPACES

摘要

In the Industry 4.0 era, traditional manufacturing and other industries must urgently upgrade their production techniques to attain small lot and variable production. How to connect production machines and tools through wireless sensor network (WSN) infrastructure is a key issue. In general, methods for the deployment of WSNs focus on two-dimensional free space for optimization. In this study, real plants that required a large indoor three-dimensional plant space environment for WSN optimization were simulated. Wireless interference caused by obstructions is an NP-hard problem for large-space network planning. To investigate interference caused by material composition, we constructed four scenarios with obstructions composed of different materials and used a multi objective mathematical model for optimization. We propose a heuristic technique that uses the nondominated sorting genetic algorithm (NSGA-Ⅱ) to obtain suitable deployment solution sets. The model was empirically proven to reduce interference by changing the material composition of obstruction-causing materials.