Decision-Making under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

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.

Automated summary

The human-centric characteristic of future communication network paradigms plays a crucial role in the relationship between telematics and human activities. The uncertainties introduced by the dynamic nature of user behavior pose challenges in network resource management, calling for improved modeling of human behavior context. Establishing such a model is key to enhancing resource assignment and management efficiency.