Transportation Research Institute (IMOB), Hasselt University, 3500 Hasselt, Belgium.
Computer Sciences Department, German University of Technology in Oman (GUtech), Athaibah, Muscat 130, Oman.
Sensors (Basel). 2022 Aug 17;22(16):6146. doi: 10.3390/s22166146.
Group awareness is playing a major role in the efficiency of mission planning and decision-making processes, particularly those involving spatially distributed collaborative entities. The performance of this concept has remarkably increased with the advent of the Internet of Things (IoT). Indeed, a myriad of innovative devices are being extensively deployed to collaboratively recognize and track events, objects, and activities of interest. A wide range of IoT-based approaches have focused on representing and managing shared information through formal operators for group awareness. However, despite their proven results, these approaches are still refrained by the inaccuracy of information being shared between the collaborating distributed entities. In order to address this issue, we propose in this paper a new belief-management-based model for a collaborative Internet of Drones (IoD). The proposed model allows drones to decide the most appropriate operators to apply in order to manage the uncertainty of perceived or received information in different situations. This model uses Hierarchical Analysis Process (AHP) with Subjective Logic (SL) to represent and combine opinions of different sources. We focus on purely collaborative drone networks where the group awareness will also be provided as service to collaborating entities.
群体意识在任务规划和决策过程的效率中起着重要作用，特别是在涉及空间分布的协作实体时。随着物联网（IoT）的出现，这一概念的性能得到了显著提高。事实上，大量创新设备正在被广泛部署，以协作识别和跟踪感兴趣的事件、对象和活动。许多基于物联网的方法都侧重于通过用于群体意识的形式运算符来表示和管理共享信息。然而，尽管这些方法已经得到了验证，但它们仍然受到协作分布式实体之间共享信息的准确性的限制。为了解决这个问题，我们在本文中提出了一种新的基于置信度管理的无人机协同物联网（IoD）模型。所提出的模型允许无人机决定应用最合适的运算符，以便在不同情况下管理感知或接收信息的不确定性。该模型使用层次分析过程（AHP）与主观逻辑（SL）来表示和组合不同来源的意见。我们专注于纯粹的协作无人机网络，其中群体意识也将作为服务提供给协作实体。
