Low-latency data processing scheme for edge computing in real-time wildlife monitoring

Real-time data processing in wildlife monitoring puts forward stringent requirements on system response speed. In this paper, a low-latency data processing scheme based on edge computing is proposed to achieve real-time processing of wildlife monitoring data by designing the end-edge cloud collaborative architecture, optimising the task scheduling strategy, improving the data transmission mechanism and resource allocation method. Experimental verification shows that this scheme can significantly reduce the system processing delay, improve the monitoring efficiency, and provide technical support for wildlife protection.