KANGA Koffi1, KAMAGATE Béman Hamidja2, BROU Aguie Pacome Bertrand3, OUMTANAGA Souleymane4, 2Doctor in Computer Science: Software Engineering and Database: INPHB Doctoral School Teacher – Researcher, at ESATIC (African Higher School of ICT: Republic of Côte d'Ivoire) Laboratory of Information and Communication Sciences and Technologies, African Higher School of ICT, LASTIC-ESATIC, Abidjan, Ivory Coast, 18bp 1501 Abidjan 18. https://orcid.org/0000-0002-5246-4304, 2Doctor in Computer Science: Networks and Security: INPHB Doctoral School Teacher – researcher, at ESATIC (African Higher School of ICT: Republic of Côte d’Ivoire) Laboratory of Information, Communication Sciences and Technologies, African Higher School of ICT, LASTIC-ESATIC, Abidjan, Ivory Coast, 18bp 1501 Abidjan 18, 3Doctor of Computer Science at the Laboratory of Information, Communication Sciences and Technologies, African Higher School of ICT, LASTIC-ESATIC, Abidjan, Ivory Coast, 18bp 1501 Abidjan 18. orcid.org/0000-0002- 2584-3325, 4Lecturer in computer science at the Houphouët Boigny National Polytechnic Institute in Yamoussoukro Computer science and telecommunications research laboratory
In this work, the main objective is to provide a contribution of resources adaptation to consumption demand in IOT environments. To do this, we have proposed a data model including the entities " resource ", " load ", " event ", " policy " and " device " as well as the different relationships between IOT devices and others. 0 This data model, an adaptation process is proposed as well as a mathematical model based on the optimization of resource consumption on requests while, taking into account certain constraints including the Maximum Capacity of resources, the Satisfaction of user or IOT device requests and the Energy Constraints have been proposed. The simulation results regarding the optimization of resource consumption show that our model could be beneficial for smart city management, industry 4.0 and e-health.
Resource adaptation – data model – IOT resource.