Document detail
ID
oai:arXiv.org:2311.04011
Topic
Computer Science - Networking and ... Electrical Engineering and Systems...Author
Zarour, Mervat Tayade, Shreya Melnyk, Sergiy Schotten, Hans D.Category
Computer Science
Year
2023
listing date
11/15/2023
Keywords
re-planned coverage agv trajectory holeAbstract
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
Zarour, Mervat,Tayade, Shreya,Melnyk, Sergiy,Schotten, Hans D., 2023, Coverage Hole Elimination System in Industrial Environment
