Design and Implementation of Low-Power Transmission Algorithm for Mobile Communication in the Internet of Things

With the rapid development of Internet of Things (IoT) technology, the sharp increase in the number of devices and the continuous growth of data traffic have put forward higher requirements on the power consumption of mobile communication networks. This paper aims to design and implement a low-power transmission algorithm for mobile communication for IoT to solve the problem of high power consumption of traditional transmission algorithms in IoT scenarios. The primary optimization strategy proposed in this paper is the dynamic resource scheduling mechanism to continuously collect network load parameters (such as data throughput, number of terminal accesses, etc.), build a real-time status evaluation model, and dynamically optimize the configuration of system resources such as spectrum and power based on the load prediction model. The mechanism adopts a hierarchical control architecture, implements adaptive power adjustment based on signal-to-noise ratio at the physical layer, designs a time slot allocation algorithm based on queue length at the link layer, and maximizes resource utilization efficiency through cross-layer information interaction. Experimental data shows that the scheme can automatically match the optimal resource configuration mode according to the service type, reducing average energy consumption compared to the fixed allocation strategy. The experimental results show that the power consumption of the low-power transmission algorithm is stably maintained between 1w and 8w under most other test numbers, and the overall performance is more balanced and robust. The designed algorithm maintains good data transmission efficiency and reliability while effectively reducing power consumption.