雾环境下协作机器人之间的语义数据交换:CoAP是一种选择吗?

S. Dey, Abhijan Bhattacharyya, A. Mukherjee
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引用次数: 7

摘要

互联网从以人为中心的交流向物联网的转变,在通信模型和数据交换模式方面提出了一些有趣的挑战。边缘/雾计算作为一种计算模型的出现进一步强调了需要一个统一的模型来迎合参与设备的固有异质性。在一些领域,设备的范围可能从标准的计算和通信设备到网关/交换机,以及机器人/无人机和其他类型的自主实体。在灾害管理、仓库自动化、监控等场景中,机器人/无人机/ agv /无人机的使用正在稳步增加,以尽量减少潜在的危险人为干预。在这种情况下,数据交换和进一步处理的最优性是需要的特性,特别是在后端云基础设施的可用性无法保证的户外灾难情况下。在本文中,我们展示了一个基于资源描述框架(RDF)的真实机器人数据交换模型。我们进一步对机器人操作系统(ROS)中的TCP和约束应用层协议(CoAP)的块扩展之间的网络性能进行了比较分析,以便在机器人实体与雾设备协作完成搜索和救援任务的灾难情况下双向交换此类RDF数据。本文的因果分析为未来CoAP的潜在提升奠定了基础。
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Semantic data exchange between collaborative robots in fog environment: Can CoAP be a choice?
The transition of Internet from human-centric exchanges to the Internet of Things has posed several interesting challenges regarding the communication model and data exchange pattern. The emergence of edge/fog computing as a compute model has further highlighted the need of a uniform model to cater to the inherent heterogeneity of participating devices. In several domains, the devices may range from standard compute and communication devices to gateways/switches, as well as robots/drones and other types of autonomous entities. In scenarios like disaster management, warehouse automation, surveillance etc. use of robots/drones/AGVs/UAVs is steadily increasing in order to minimise potentially hazardous human intervention. Optimality of data exchange and further processing is a desired feature in such scenarios, especially in outdoor disaster situations where availability of the back-end cloud infrastructure can not be guaranteed. In this paper, we demonstrate a real life robotic data exchange model based on Resource Description Framework (RDF). We further perform a comparative analysis of network performance between TCP in Robot Operating System (ROS) and block-wise extension to Constrained Application Layer Protocol (CoAP) for bidirectional exchange of such RDF data in a disaster situation where robotic entities accomplish search and rescue missions in collaboration with fog devices. The causal analysis presented in this paper puts a stepping stone for potential future enhancement of CoAP.
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