The purpose of this work is to improve the utilization efficiency of WSN (Wireless Sensor Network) through the WSN service system based on MEMS (Micro-Electro-Mechanical System) technology. Here, a WSN service system with a CC2430 chip (integrated with a microcontroller) is innovatively proposed through WSN and SOA (Service-Oriented Architecture), and the optimized genetic algorithm is chosen for node control. Finally, the proposed system is experimentally simulated through MATLAB (Matrix Laboratory). The results show that the proposed system can display the overall serviceability of the network on the webpage. Meanwhile, the proposed system can show the results of temperature data acquisition with the range of 288:321, and the numerical type is the maximum value. The electrical control webpage of the system can manually close the air conditioner and can automatically control the wall lamp. In the case of a node failure, with 150 times iterations, the differences are small of the three tests in the number of nodes, path distance, and maximum distance. When the distance between the test content and the node is less than two meters, the number of received packets and the number of sent packets are the same, and the error number and packet loss rate are 0. When the distance between the test content and the node is over two meters, with the increase of distance, the number of packets received gradually reduces, and the packet error rate and packet loss rate increase. Consequently, the proposed system is feasible, the expectation on system service efficiency can be met, and it can be applied to the actual WSN service field.