Nowadays, wireless sensor networks (WSNs) have found many applications in a variety of topics. The main objective in WSNs is to measure environmental phenomena and send reading data to the sink in multi-hop paths. The most important challenge in WSNs is to minimize energy consumption in the sensor nodes and increase the network lifetime. One of the most effective techniques for reducing energy consumption in WSNs is the compressive sensing (CS) which has recently been considered by the researchers. CS reduces the network energy consumption by reducing the number and size of transmitted data packets over the network. On the other hand, in order to overcome the challenge of energy consumption in the network, it is necessary to identify and analyze the energy consumption resources of the network. Although many models have been proposed for energy consumption analysis in the WSN, but these models were not based on the CS technique. Therefore, we have proposed a complete model in this work for energy consumption analysis in various CS-based data gathering techniques in WSNs. This model can be very effective in energy consumption optimization when designing a CS-based data gathering technique for WSN.

如今，无线传感器网络（WSN）已在各种主题中找到了许多应用。无线传感器网络的主要目标是测量环境现象，并将读取的数据发送到多跳路径中的接收器。WSN中最重要的挑战是最大程度地减少传感器节点的能耗并延长网络寿命。减少无线传感器网络能耗最有效的技术之一是研究人员最近考虑的压缩感测（CS）。CS通过减少网络上传输的数据包的数量和大小来减少网络能耗。另一方面，为了克服网络中能耗的挑战，有必要对网络的能耗资源进行识别和分析。尽管在无线传感器网络中已经提出了许多用于能耗分析的模型，但是这些模型并不是基于CS技术的。因此，我们在这项工作中提出了一个完整的模型，用于WSN中各种基于CS的数据收集技术中的能耗分析。在为WSN设计基于CS的数据收集技术时，该模型在能耗优化中非常有效。