Evaluation of Computer Network Work Processes in WSN: From Sensor Collection to Data Presentation to the Main System
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Evaluation of Computer Network Work Processes in WSN: From Sensor Collection to Data Presentation to the Main SystemAbstract
The development of computer network technology and the Internet of Things (IoT) has encouraged the widespread use of Wireless Sensor Networks (WSN) in various applications, such as environmental monitoring, smart industry, and smart cities. However, the efficiency of computer network processes in WSN—from sensor data collection to presentation to the main system—remains a major challenge, particularly in terms of energy efficiency, communication reliability, and data transmission stability. Objective: This study aims to evaluate the performance and effectiveness of computer network work processes in WSNs end-to-end by comparing two routing algorithms, namely AODV and LEACH, to determine the most efficient model for sensor data transmission. Method: This study uses a quantitative simulation-based experimental method using Network Simulator 3 (NS-3) with variations in the number of sensor nodes (10–50 nodes), mesh topology, and IEEE 802.15.4 communication protocol. The parameters tested include throughput, packet delivery ratio (PDR), and energy consumption. Results: Simulation results show that LEACH produces higher throughput (up to 90.1 kbps), better PDR (up to 94.5%), and lower energy consumption (on average 24.5% more efficient) compared to AODV. Conclusion: This study concludes that the clustering and data aggregation mechanisms in LEACH improve the efficiency of the network process from the sensor to the main system. This end-to-end evaluative approach provides. This end-to-end evaluative approach contributes significantly to the development of WSN designs that are more energy efficient, reliable, and responsive to future application needs.
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