Innovative Advancements in Network Topologies: A Comprehensive Investigation of Mesh Network, Tree Topology, and Hypercube Network
Jesse Emmanuel A. Encarnacion, Jerry I. Teleron · International Journal of Advanced Research in Science Communication and Technology · 2023
In the dynamic digital era, characterized by diverse and evolving communication demands, the necessity for adept network architectures has reached a paramount juncture. This paper responds to this imperative by exploring the novel architectures poised to redefine the contours of modern networking. The study employed a comprehensive methodology through theoretical analysis, simulation studies, and real-world applications. It rigorously assesses the topology structure, scalability, latency and throughout, fault tolerance, and application of the three innovative network topologies namely: Mesh Network, Tree Topology, and Hypercube Network. The results showed that Mesh Network is more suitable for dynamic IoT environment due to high resilience and fault tolerance. It emerged as a robust choice for managing the complex communication patterns inherent in IoT deployments. However, Mesh Network must strengthen its security measures by incorporating encryption protocols and intrusion detection systems. The Tree topologies showcase scalability but may be challenged in fault-tolerant scenarios. This requires tree topologies to focus on enhancing the scalability of hierarchical structures, perhaps through adaptive configurations. Hypercube networks, inspired by parallel processing, demonstrate efficiency in edge computing environments. The efficiency of hypercube networks in edge computing environments suggests the need for continued optimization. The research also elucidates potential benefits and delve into the opportunities and challenges associated with each topology. It does not only underscore their strengths and limitations but also provides actionable recommendations for their effective implementation across various scenarios. The findings of this study can contribute to the collective knowledge base and serve as a catalyst for future developments guiding researchers, practitioners, and decision-makers in their pursuit of resilient and adaptive network designs in an ever-changing digital landscape