Global connection is becoming more important with IoT applications and services in practically every aspect of our lives. Terrestrial networks alone cannot satisfy these objectives, thus alternative communication infrastructures like LEO satellites, UAVs, and high-altitude platforms must be used to their maximum capacity in terms of coverage, flexibility, and availability to service IoT devices at any time and location.

Nevertheless, the future Space-Air-Ground Integrated Network (SAGIN) is not just a collection of disparate network segments and domains. It will be the greatest regional scale ever, making managing heterogeneity and hybridity difficult. Intelligent IoT networking refers to the ability of networks to operate and govern themselves automatically, allowing operators to coordinate network and computer resources at a much finer granularity and with greater efficiency. When the private workload is relatively light, enterprises, social public sectors, and individuals may be able to dynamically share their networks and facilities in order to assist others while also earning a profit on the transaction. Discrete dynamic modelling is a powerful technique for understanding the link between complex system components and capturing the multilevel dynamics of IoT networks. Particularly, dynamic modelling and analysis can be utilized to solve the multi-dimensional complexity inherent in generating optimal decisions.

To overcome the challenges mentioned above, we offer this Special Issue to help both academic and industrial communities understand the recent research progress and emerging technologies in dynamic modelling and optimization of future IoT networks. We welcome original research and review articles.

Potential topics include but are not limited to the following:

• Discrete dynamics of space-air-ground integrated IoT network
• Innovative modelling of intelligent IoT networking
• Dynamic access control for intelligent IoT networking
• Data-driven discrete dynamic optimization for IoT system
• Quality of service (QoS) provisioning for dynamic IoT applications
• Energy-efficient optimization techniques for intelligent IoT networking
• Machine learning and other heuristic approaches for intelligent IoT networks
• Discrete methods for the IoT system simulation
• Modelling and simulation of the digital twin in IoT context
• Model optimization and system analysis of IoT cloud