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A Semantic Framework for Design-Time RIoT Device Mission Coordination

机译:设计时RIoT设备任务协调的语义框架

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A significant number of publications has demonstrated that a synergy of collective is more powerful than a single unit of the collective. Despite the fact that a single-unit system can execute its task with relatively strong performance, some tasks might be too complex or even impossible for a single unit, especially when it comes to spatially separated tasks. The coordination behavior of a collective of devices is a possible solution for achievement of certain goals more effectively particularly in the case when devices operate within the same environment. In this paper, detection of candidate coordination points for missions of experimental robotic and IoT devices is addressed by means of semantic technologies. The detection of coordination points for a set of given missions is important because it can be further utilized for automatic code generation for coordinated device missions. The detection can be performed at either design-time, run-time or both. In this paper, we put emphasis on design-time semantic analysis of mission definition written in a domain-specific language and propose a coordination process model. As a proof of concept, scenarios for unmanned vehicle coordination in RT-ART testbed of RAWFIE remote experimentation platform based on the proposed architecture are implemented and presented.
机译:大量出版物表明,集体的协同作用比集体的单个单元更强大。尽管单个单元的系统可以以相对较高的性能执行其任务,但是对于单个单元而言,某些任务可能过于复杂,甚至是不可能的,尤其是在空间上分离的任务方面。一组设备的协调行为是更有效地实现某些目标的可能解决方案,尤其是在设备在同一环境中运行的情况下。在本文中,通过语义技术解决了实验机器人和物联网设备任务的候选协调点检测问题。对于一组给定任务的协调点的检测很重要,因为它可以进一步用于协调设备任务的自动代码生成。可以在设计时,运行时或同时在两者上执行检测。在本文中,我们将重点放在以领域特定语言编写的任务定义的设计时语义分析上,并提出一个协调过程模型。作为概念验证,基于所提出的架构,实现并提出了RAWFIE远程实验平台的RT-ART测试平台中的无人驾驶车辆协调场景。

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