Decision-making under uncertainty for the deployment of future hyperconnected networks: A survey
PublisherMultidisciplinary Digital Publishing Institute (MDPI)
Rights accessOpen Access
ProjectDISEÑANDO UNA INFRAESTRUCTURA DE RED 5G DEFINIDA MEDIANTE CONOCIMIENTO HACIA LA PROXIMA SOCIEDAD DIGITAL (AEI-TEC2017-90034-C2-1-R)
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.
This paper is an extended version of our paper published in “Néstor Alzate Mejía, Germán Santos-Boada, José R. de Almeida Amazonas, Decision-Making Under Uncertainty for the Deployment of Future Networks in IoT Scenarios” 11th EAI International Conference on Broadband Communications, Networks, and Systems, 11–12 December 2020.
CitationAlzate, N.; Santos-Boada, G.; De Almeida, J. Decision-making under uncertainty for the deployment of future hyperconnected networks: A survey. "Sensors", 30 Maig 2021, vol. 21, núm. 11, article 3791, p. 1-30.