| Abstract |
With the rapid development of Wireless Sensor Networks (WSNs), how to utilize their advantages for efficient simulation in multiple fields has become a current research hotspot. Wireless sensor networks have been widely used in environmental monitoring, military applications, medical health, and other fields due to their low cost, low power consumption, and strong self-organizing ability. However, due to the complexity and dynamism of WSNs, how to effectively simulate and emulate them to optimize network performance and save resources has become an important research topic. This study innovatively designed an integrated WSNs virtual simulation system that integrated sensor energy consumption, communication protocols, network topology, and dynamic environment simulation, significantly improving simulation accuracy and reliability. It adopts a modular architecture to construct a flexible and scalable simulation framework, which can efficiently operate in multiple scenarios. Although Strategy B lacks control accuracy, it has the lowest energy consumption (480 kWh), reflecting efficient energy management. Experimental results have shown that the system effectively balances accuracy and efficiency, providing solid support for WSNs design optimization, reducing testing costs, promoting protocol algorithm performance evaluation, adapting to technological evolution, and supporting applications such as smart cities and environmental monitoring. © 2024 IEEE. |
