A Trust-Based Team Formation Framework for Mobile Intelligence in Smart Factories

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Abstract
In Smart Factories, Automated Guided Vehicles(AGVs) accomplish heterogeneous tasks as moving objects, restoring connectivity or performing different manufacturing activities into production-lines. These kinds of devices combine several capabilities, as artificial intelligence (visual and speech recognition, automatic fault detecting, pro-active behavior) and mobility,into the so-called "mobile intelligence". A typical scenario is represented by a workshop with a large number of mobile intelligent devices with associated agents, mutually interacting on their behalf. Here, to satisfy some basic requirements as effectiveness and efficiency, it is often necessary to organize ad hoc teams of free-moving vehicles, sensors and smart devices to reach a given target. Therefore, a specific issue consists inadequately representing the reciprocal agent/device trustworthiness for advantaging such team formation processes in a smart factory environment. To this end, in this paper(i)we define a trust measure based on reliability and reputation of AGVs, which are computed based on the feedbacks released for the AGVs activities in the factory;(ii)we design a framework exploiting the defined trust measures to support the formation of virtual,temporary and trust-based teams of mobile intelligent devices;and(iii)we present a set of experimental results highlighting that the proposed trust framework can improve the workshop performance in terms of effectiveness and efficiency

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