Research on the Integrated Algorithm of Sensor Network in Water Environment Monitoring

This paper presents a data video base station designed with an ARM-DSP dual-processor architecture for optimizing multi-source data processing and transmission in water environment monitoring. Addressing the challenges of high data flow and excessive energy consumption at nodes in water monitoring, this study integrates the PEGASIS (PowerEfficient Gathering in Sensor Information Systems) algorithm with a short-chain aggregation strategy to develop a highly efficient integration algorithm tailored for sensor networks. Through system simulation, the proposed algorithm’s effectiveness is demonstrated by comparing energy consumption and data transmission delays across various scenarios. The findings indicate that the algorithm excels in enhancing data transmission efficiency and minimizing energy consumption, particularly in complex water monitoring environments, thereby significantly extending the lifespan of sensor nodes. Furthermore, simulations under different processor architectures reveal that the collaborative functioning of the ARM-DSP dual processors can further refine the real-time capabilities of data processing and improve system response speed, offering both theoretical insights and practical foundations for integrated optimization in water environment monitoring systems.