Adaptive and Intelligent Algorithms to Improve IoT Communications Within Smart Cities
Sofiane Hamrioui, Jaime Lloret, Pascal Lorenz, Arab Ali Chérif · 2023
Nowadays, almost all applications use Internet of Things (IoT) to modernize their process of data communication. The area of smart cities is considered as an industry whose the exploitation of IoT is in constant increasing. Due to the specific requirements of the smart cities' applications, especially in terms of QoS (Quality of Services), IoT communications face multiple constraints. The limited resources, whether for devices or for communication links, is considered one important constraint. The frequent changes in the states and situations of devices and communication links make this constraint more complex. Considering this obstacle when designing communication algorithms for the IoT is an active research axis that is conducted in the IoT context. Given the unpredictable and uncertain nature of the situations that can be occurred in the network, it is important that these algorithms be adaptive and intelligent. The objective of the presented work in this paper is the proposition of a new communication solution, named IAAC-IoT (Intelligent and Adaptive Algorithms for IoT Communications), gathering adaptive and intelligent algorithms to improve the QoS and energy consumption within IoT. During the performance evaluation of the IAAC-IoT, we obtained satisfactory performance results in terms of QoS and energy efficiency.