因此，如何能量高效地对无线传感器网络中的多查询进行优化，降低网络节点的能耗是本论文的研究重点。
Therefore, we focus on optimizing multiple queries energy efficiently to reduce energy consumption of sensor nodes. This thesis analyzes multiple queries in-network processing technologies in WSNs.
协作式MIMO传感器网络能量效率优化关注与两个方面：一是使数据传输能耗最低；
The energy efficiency optimization of cooperative MIMO concerns with two aspects:One is to enable the lowest data transmission energy consumption;
对关键能耗特征变量进行了可控性分类解析，提取了各类实际可达优化目标值和各类可控能量损耗；
By categorizing the key energy-consumption variables, the features of specific target values, controllable energy losses in power generation were specified.
使系统各个部分运行在节能模式下，较好地优化了节点能耗，提高了节点能量利用率，从而有效延长了网络的生存寿命。
It is better than direct supply with battery in stability and consistency. The power consumption of nodes is optimized to increase the nodes power use and extend the network life.
使系统各个部分运行在节能模式下，较好地优化了节点能耗，提高了节点能量利用率，从而有效延长了网络的生存寿命。
It is better than direct supply with battery in stability and consistency. The power consumption of nodes is optimized to increase the nodes power use and extend the network life.
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