Dynamic Routing In Computer Networks Using IoT Devices
DOI:
https://doi.org/10.48314/ceti.vi.45Keywords:
Dynamic routing, Internet of Things , Computer networks, Network optimization, Hybrid protocolsAbstract
As the demand for data traffic and the complexity of contemporary computer networks grow, along with device density, dynamic routing encounters significant challenges, making traditional routing protocols inadequate in numerous situations. This paper seeks to create more responsive and efficient routing systems by integrating Internet of Things (IoT) devices into the network infrastructure. Our research illustrates how IoT devices, with their capabilities for real-time monitoring, data collection, and distributed processing, can transform inflexible routing methods into adaptive systems that respond to context in real time. In the subsequent section, we conduct a thorough evaluation of recent implementations, which reveal considerable performance improvements through IoT-based routing. Key outcomes indicate that anomaly detection can be up to 40% quicker than in traditional monitoring systems and that latency can be reduced by 25% in densely populated urban areas. We outline a new hierarchical architecture that consists of four layers: perception, network, processing, and application, which allows for the smooth integration of IoT devices while ensuring scalability and reliability. The study explores essential issues that IoT-based routing systems present, including resource limitations, security risks, and energy efficiency challenges. Therefore, there is a significant need for optimized solutions that can address these concerns and deliver innovative answers by merging machine learning algorithms with IoT-enhanced routing protocols, achieving a 45% reduction in network overhead and a 30% increase in packet delivery ratios. These findings advocate for further advancement through the promotion of standardization and collaboration across industries. Our results contribute to the evolving field of network routing by offering a concrete framework for implementing more adaptive, efficient, and resilient routing solutions. This research serves as a strong basis for next-generation networking solutions capable of accommodating the rising demands of contemporary network environments.
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