Faculty of Engineering, Cooperative University of Colombia, Santiago de Cali 760035, Colombia.
Department of Computer Architecture, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain.
Sensors (Basel). 2021 May 30;21(11):3791. doi: 10.3390/s21113791.
Among the several emerging dimensioning, control and deployment of future communication network paradigms stands out the human-centric characteristic that creates an intricate relationship between telematics and human activities. The hard to model dynamics of user behavior introduces new uncertainties into these systems that give rise to difficult network resource management challenges. According to this context, this work reviews several decision-making computational methods under the influence of uncertainties. This work, by means of a systematic literature review, focuses on sensor-based Internet of Things scenarios such as Smart Spaces and Industry 4.0. According to our conclusions, it is mandatory to establish a means for modeling the human behavior context in order to improve resource assignment and management.
在未来通信网络范式的几个新兴维度、控制和部署中，以人为中心的特征尤为突出，它在远程信息处理和人类活动之间建立了一种复杂的关系。用户行为的难以建模的动态为这些系统引入了新的不确定性，从而导致了网络资源管理的挑战。根据这一背景，本工作在不确定性的影响下审查了几种决策计算方法。通过系统的文献回顾，本工作侧重于基于传感器的物联网场景，如智能空间和工业 4.0。根据我们的结论，必须建立一种用于建模人类行为背景的方法，以改善资源分配和管理。
