Distributed Computer Network Working Model in WSN: The Influence of Node Architecture, Routing and Data Traffic on System Performance
Keywords:
Distributed computer networks, Wireless Sensor Networks, Adaptive routing, Node architecture, Data trafficAbstract
The development of distributed computer networks in Wireless Sensor Networks (WSN) has become an important element in supporting the Internet of Things (IoT), Smart City, and smart industry applications. The main challenges in WSN lie in energy limitations, data transmission stability, and adaptability to changes in network topology. Current knowledge shows that the combination of node architecture, routing algorithms, and data traffic patterns has a significant influence on system performance, but the relationship between these factors has not been comprehensively evaluated. Objective: This study aims to identify and analyze the influence of node architecture, routing algorithms, and data traffic patterns on the performance of distributed computer networks in WSN. Method: The research approach was conducted through quantitative experimental studies based on simulations using NS-3 software. Three architectures (flat, cluster, multi-hop) and three routing algorithms (LEACH, PEGASIS, Directed Diffusion) were tested in three types of data traffic (periodic, event-driven, query-based) to assess throughput, Packet Delivery Ratio (PDR), delay, and energy consumption. Results: Simulation results show that the distributed multi-hop architecture with the PEGASIS algorithm and event-driven traffic pattern produces the best performance, with a 25% increase in throughput, PDR of up to 94.8%, and energy efficiency of 87.9%. The combination of adaptive architecture, intelligent routing, and dynamic traffic management has been proven to significantly improve system efficiency and communication reliability. These findings emphasize the importance of developing machine learning-based adaptive algorithms to improve Quality of Service (QoS) and network lifetime in future WSN applications.
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