A Novel Approach to Semiconductor-based Purpose-Built Connectivity Chip for AMN: Leveraging Adaptive Mesh Networking for Low-Latency, High-Throughput Communication in Remote Environments

Abstract

The growing demand for reliable and efficient communication in remote and challenging environments, such as disaster recovery zones, military operations, and remote industrial applications, has highlighted the need for advanced networking solutions. Traditional communication infrastructures often face limitations in these scenarios due to environmental factors and the lack of central infrastructure. This paper presents a novel approach to purpose-built connectivity by leveraging Adaptive Mesh Networking (AMN), which enables low-latency, high-throughput communication in remote and dynamic environments.

AMN is an advanced, self-organizing communication topology where multiple network nodes collaborate to form a flexible mesh, enabling seamless connectivity even when traditional infrastructure is unavailable. The adaptability of the network to changing conditions, including node failure, high mobility, and varying environmental factors, is a key advantage in ensuring robust communication. This paper explores how AMN can dynamically adjust to network topology changes, efficiently route data, and maintain consistent performance despite challenging conditions. The proposed system incorporates machine learning algorithms for real-time decision-making, enabling optimal resource allocation and routing adjustments based on network conditions. The paper also introduces a hybrid approach combining Software-Defined Networking (SDN) techniques with AMN to enhance the network's scalability and manageability. Through comprehensive simulations and performance evaluations, the paper demonstrates the effectiveness of AMN in providing low-latency, high-throughput communication under various operational scenarios. This research contributes to developing resilient communication networks for remote environments, ensuring reliable data transmission and network stability in real-time applications, and paving the way for future innovations in adaptive network architectures for critical infrastructures.