Coverage Hole Elimination System in Industrial Environment
| Autor: | Zarour, Mervat, Tayade, Shreya, Melnyk, Sergiy, Schotten, Hans D. |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1109/VTC2023-Spring57618.2023.10199594 |
| Popis: | The paper proposes a framework to identify and avoid the coverage hole in an indoor industry environment. We assume an edge cloud co-located controller that followers the Automated Guided Vehicle (AGV) movement on a factory floor over a wireless channel. The coverage holes are caused due to blockage, path-loss, and fading effects. An AGV in the coverage hole may lose connectivity to the edge-cloud and become unstable. To avoid connectivity loss, we proposed a framework that identifies the position of coverage hole using a Support- Vector Machine (SVM) classifier model and constructs a binary coverage hole map incorporating the AGV trajectory re-planning to avoid the identified coverage hole. The AGV's re-planned trajectory is optimized and selected to avoid coverage hole the shortest coverage-hole-free trajectory. We further investigated the look-ahead time's impact on the AGV's re-planned trajectory performance. The results reveal that an AGV's re-planned trajectory can be shorter and further optimized if the coverage hole position is known ahead of time Comment: IEEE copyright |
| Databáze: | arXiv |
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