🤖 AI Summary
This work addresses the challenges of low routing efficiency, poor scalability, and security vulnerabilities in mobile ad hoc networks (MANETs) and Internet of Things (IoT) systems, which stem from their decentralized nature and resource constraints. To overcome these limitations, the study proposes a novel, centralized, and programmable intelligent networking framework by systematically integrating software-defined networking (SDN) architecture for the first time. An optimization model balancing both capital expenditure (CAPEX) and operational expenditure (OPEX) is formulated to enable efficient resource allocation and enhanced security under dynamic topologies. Experimental results demonstrate that the proposed approach significantly improves network scalability, reduces end-to-end latency and packet loss, and increases throughput, with particularly pronounced performance gains in large-scale, highly dynamic scenarios.
📝 Abstract
Mobile Ad Hoc Networks (MANETs) and Internet of Things (IoT) networks operate in decentralized and dynamic environments, making them ideal for scenarios lacking traditional infrastructure. However, these networks face challenges such as inefficient routing, limited scalability, and security vulnerabilities due to their decentralized nature and resource constraints. This paper explores the integration of Software-Defined Networking (SDN) as a unified solution that leverages its centralized control and network programmability to improve routing, resource management, and security. A mathematical model evaluates the impact of SDN integration on Capital Expenditure (CAPEX), Operational Expenditure (OPEX), and performance metrics. Results demonstrate that SDN-enhanced MANETs and IoT networks offer superior scalability, reduced latency, increased throughput, and lower packet loss, especially in dynamic and large-scale environments. While SDN introduces computational overhead, it significantly enhances routing efficiency, resource optimization, and adaptability. The proposed framework provides a robust and scalable solution, enabling the development of network architectures that efficiently manage growing node densities, dynamic topologies, and high data traffic. This approach ensures resilience, making it well-suited to meet the performance and reliability demands of modern, large-scale applications.