CMHAA: Context Management and Hierarchical Addressing Architecture for Scalable IoT in the Future Internet

The increasing adoption of the Internet of Things (IoT) and Future Internet has brought about new challenges in device management, scalability and efficient communication across heterogeneous devices. IoT systems typically use flat addressing methods and do not support contextual information processing, resulting in higher transmission costs, poor device organization, and insufficient scalability for big IoT networks. To overcome such limitations, this paper proposes a novel Context Management and Hierarchical Addressing Architecture (CMHAA). In the CMHAA approach, context acquisition, context processing, device categorization, clustering of devices based on context awareness, and hierarchical address assignment schemes are incorporated into an integrated architecture. The use of contextual parameters such as device type, residual energy, mobility, location, and QoS requirement helps in intelligent organization of devices. Additionally, the hierarchical addressing system can help provide address aggregation, simplify lookup procedures, and enhance communication efficiency. This proposed scheme was simulated using heterogeneous IoT applications consisting of up to 1000 nodes on MATLAB. Based on the experimental findings, the proposed CMHAA scheme provided a scalability of 95.6%, context processing accuracy of 97.4%, device classification accuracy of 96.2%, and address allocation efficiency of 98.8% while minimizing communication costs and address lookup costs. Therefore, the findings suggest that the proposed approach can form an efficient basis for next-generation Future Internet-based IoT systems.