The English teaching network system is a distant teaching based on the Web. This teaching method can stimulate students’ interests so that students can acquire knowledge voluntarily, and automatic test paper generation is one of the most important modules in the English teaching network system. This article first briefly introduces the architecture of the wireless sensor network and then gives a wireless sensor network teaching experiment system based on a genetic algorithm. The multiple sensor nodes in the system can form a variety of different topologies, the collected data can be sent to the user terminal through the GSM network, and the user can also control the remote sensor node through the GSM network. This paper first describes the automatic test problems, a constrained multi-objective problem, then the design of the genetic algorithm to improve the test paper and puts forward questions based on an encoding method and based on the difficulty and test points of F fitness function for dynamic adjustment of the parameters in the iterative process. Finally, it is verified by experiments that the test paper made by this method satisfies users’ requests for questions, contents, and scores, and at the same time, it also improves the running efficiency of a random optimization algorithm by 7–17 times.

英语教学网络系统是基于Web的远程教学。这种教学方法可以激发学生的兴趣，使学生能够自愿获得知识，而自动生成试卷是英语教学网络系统中最重要的模块之一。本文首先简要介绍了无线传感器网络的体系结构，然后给出了一种基于遗传算法的无线传感器网络教学实验系统。系统中的多个传感器节点可以形成各种不同的拓扑，收集的数据可以通过GSM网络发送到用户终端，用户也可以通过GSM网络控制远程传感器节点。本文首先介绍了自动测试问题，一个受约束的多目标问题，F适应度函数，用于在迭代过程中动态调整参数。最后，通过实验证明，该方法可以满足用户对问题，内容和分数的要求，同时也使随机优化算法的运行效率提高了7-17倍。