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.
Coverage Hole Elimination System in Industrial Environment
01.06.2023
1264052 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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