Abstract
In recent years, the Internet of Things (IoT) technology has been considered one of the most attractive fields for researchers due to its aspirations and implications for society and life as a whole. The IoT environment contains vast numbers of devices, equipment, and heterogeneous users who generate massive amounts of data. Furthermore, things' entry into and exit fromIoT systems occur dynamically, changing the topology and content of IoT networks very quickly. Therefore, managing IoT environments is among the most pressing challenges. This paper proposes an adaptive and dynamic scheme for managing IoT environments is proposed. This management scheme depends on the use of previous management methodologies, considering two main factors. The first factor is network status, which is determined in real-time. The second factor is a management method's suitability according to its desired administration. To test the proposed management scheme, a simulation environment is created using NS3. The metrics used to measure the management scheme performance are bandwidth consumption, energy consumption, packet loss, throughput, delay, usage rate of individualmanagement techniques, and transformation. The simulation results prove that the proposed management scheme outperformed the individual 6LowPANSNMP, CoAP, and LWM2M management schemes.