从灵活部署和易于实现的角度出发，采用基于Sensor Node（感知节点）-Sink Node（Sink节点）-Gateway（网关）-Control Site（控制节点）-Applicatioin（应用）的5级部署模型较为适合。
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The random measurement matrix associated with VSQI signal,and reconstruction guidelines is finded. It proves that CS based Compressive feedback method can reduce the processing complexity of sensing node side and enhance the degree of compression from the simulation results.
由于WMSN中传输的数据主要是音频和视频流等多媒体数据而且传感器节点数众多而导致产生巨大的信息反馈量,为此对压缩感知(Compressed/Compressive Sensing,CS)理论应用到VSQI压缩反馈中进行了研究,寻找并验证了与所处理的VSQI信号相关的随机测量矩阵与重建准则,仿真实验结果证明基于压缩感知的压缩反馈方法可以降低感知节点端处理复杂度、增强反馈压缩程度。
参考来源 - WMSN中基于压缩感知的VSQI压缩反馈·2,447,543篇论文数据，部分数据来源于NoteExpress
提出了一种不相交路径路由算法，可以将感知节点采集到的数据通过不相交路径传送到汇聚节点，提高路由的可靠性。
To solve the common-link and common-node problem, disjoint multi-path routing (DMPR) is employed where sensors send data to the sink through link-disjoint or node-disjoint path.
无线传感器网络中，感知节点的合理分布对于提高网络的感知能力和信息收集能力以及提高网络的生存期限都具有重要的作用。
In sensor networks, a reasonable distribution of sensor nodes will do much good to the improvement of sensor ability, information aggregation ability and network survival.
另外，虽然高级模式感知处理器确实支持这些节点测试，但它们的数量很少，并且在实际操作中常常耦合了验证过程和数据处理过程。
Also, although the advanced schema-aware processors do support these node tests, they are rare and in practice usually couple the validation with data processing.
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