In a wireless sensor network (WSN), the data transmission technique based on the cooperative multiple‐input multiple‐output (CMIMO) scheme reduces the energy consumption of sensor nodes quite effectively by utilizing the space‐time block coding scheme. However, in networks with high node density, the scheme is ineffective due to the high degree of correlated data. Therefore, to enhance the energy efficiency in high node density WSNs, we implemented the distributed source coding (DSC) with the virtual multiple‐input multiple‐output (MIMO) data transmission technique in the WSNs. The DSC‐MIMO first compresses redundant source data using the DSC and then sends it to a virtual MIMO link. The results reveal that, in the DSC‐MIMO scheme, energy consumption is lower than that in the CMIMO technique; it is also lower in the DSC single‐input single‐output (SISO) scheme, compared to that in the SISO technique at various code rates, compression rates, and training overhead factors. The results also indicate that the energy consumption per bit is directly proportional to the velocity and training overhead factor in all the energy saving schemes.

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基于DSC和虚拟MIMO的无线传感器网络节能数据传输技术

在无线传感器网络（WSN）中，基于协作多输入多输出（CMIMO）方案的数据传输技术通过利用空时分组编码方案，非常有效地降低了传感器节点的能耗。然而，在具有高节点密度的网络中，该方案由于相关数据的高度程度而无效。因此，为了提高高节点密度WSN的能效，我们在WSN中使用虚拟多输入多输出（MIMO）数据传输技术实施了分布式源编码（DSC）。DSC-MIMO首先使用DSC压缩冗余源数据，然后将其发送到虚拟MIMO链路。结果表明，在DSC‐MIMO方案中，能耗低于CMIMO技术。在各种编码率，压缩率和训练开销因子的情况下，与SISO技术相比，DSC单输入单输出（SISO）方案的性能也较低。结果还表明，在所有节能方案中，每位的能耗与速度和训练开销因子成正比。