Mobility Models for the Industrial Peer-to-Peer Context Based on Empirical Investigation

Abstract

Industry 4.0 envisions flexibility and mobility to be highly important for the factory of the future. Mobile wireless networks are important tools, that enable flexibility and mobility. A better understanding of the mobility of industrial nodes is necessary for the design and implementation of effective mobile wireless networking solutions.In this work, the mobility of industrial clients is characterized. The position of 30 Automated Guided Vehicles (AGVs) is recorded and analyzed. The applicability of common models like RWPM and the Manhattan model are compared to the empirical data and improved by a newly proposed algorithm for the selection of node speeds. A new metric for the characterization of the impact of the mobility model on the type of propagation path in a wireless network is introduced.