An enhanced adaptive processing nodes in energy optimization based on network data classification was proposed considering the exposure of energy loss for motion detecting applications in Tianjin airport site. The proposed scheme makes adjustment to original CSMA/CA algorithm, ACK frame and data collision with the existing MAC layer protocol. The paper sets up mathematical modeling and analysis, using OPNET network simulation software to create scenarios. The analysis on simulation result indicated that the optimized network performs significantly better than the original one in life span of network, performance of throughput and many other indicators. Therefore, the optimized mechanism is a better solution for the exposed problems in the energy field application system.%针对机坪移动目标监测网络在天津机场现场应用测试中暴露的能耗及相关问题,在原有网络MAC层协议基础上,提出了一种基于网络数据分类处理思想的网络节点自适应能量优化机制,对网络原有的CSMA/CA算法、ACK帧、数据碰撞等方面做了调整；进行了数学建模和分析；同时利用OPNET软件建立场景进行网络仿真,仿真结果表明优化后的网络在网络生命周期、吞吐量等指标方面均优于原有的网络,较好地解决了系统在现场应用中暴露的能量问题.
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