High-Impact Applications of IoT System-Based Metaheuristics

The internet of things (IoT) has become increasingly popular in recent years, with applications in various fields, such as healthcare, finance, agriculture, and smart cities. However, IoT systems face challenges, such as dynamic features, device mobility, and wireless communications. Metaheuristic (MH) algorithms, such as swarm intelligence (SI), have shown promise in addressing these challenges and improving IoT-based systems’ performance. For example, SI can be used to monitor patients in healthcare systems, assess credit risk in financial institutions, and automate tasks in precision agriculture. Additionally, MH methods can be applied in cloud computing platforms for scheduling tasks and encrypting data. Remote monitoring of COVID-19 patients using wearable IoT devices is another example of an IoT-based system that employs MH algorithms to analyse health-related data. Overall, MH approaches offer a flexible and efficient design standard for addressing complex challenges in various IoT applications.