Su Yishan, Fu Xiaomei, Han Guangyao, Xu Naishen, Jin Zhigang
School of Marine Science and Technology, Tianjin University, Tianjin 300072, China.
School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China.
Sensors (Basel). 2017 Apr 10;17(4):816. doi: 10.3390/s17040816.
In this paper, compressed sensing (CS) theory is utilized in a medium-access control (MAC) scheme for wireless sensor networks (WSNs). We propose a new, cross-layer compressed sensing medium-access control (CL CS-MAC) scheme, combining the physical layer and data link layer, where the wireless transmission in physical layer is considered as a compress process of requested packets in a data link layer according to compressed sensing (CS) theory. We first introduced using compressive complex requests to identify the exact active sensor nodes, which makes the scheme more efficient. Moreover, because the reconstruction process is executed in a complex field of a physical layer, where no bit and frame synchronizations are needed, the asynchronous and random requests scheme can be implemented without synchronization payload. We set up a testbed based on software-defined radio (SDR) to implement the proposed CL CS-MAC scheme practically and to demonstrate the validation. For large-scale WSNs, the simulation results show that the proposed CL CS-MAC scheme provides higher throughput and robustness than the carrier sense multiple access (CSMA) and compressed sensing medium-access control (CS-MAC) schemes.
在本文中，压缩感知（CS）理论被应用于无线传感器网络（WSN）的介质访问控制（MAC）方案中。我们提出了一种新的跨层压缩感知介质访问控制（CL CS-MAC）方案，该方案结合了物理层和数据链路层，其中根据压缩感知（CS）理论，物理层中的无线传输被视为数据链路层中请求数据包的压缩过程。我们首先引入了使用压缩复请求来识别确切的活跃传感器节点，这使得该方案更高效。此外，由于重建过程在物理层的复数域中执行，无需比特和帧同步，因此可以在没有同步负载的情况下实现异步和随机请求方案。我们基于软件定义无线电（SDR）搭建了一个测试平台，以实际实现所提出的CL CS-MAC方案并验证其有效性。对于大规模无线传感器网络，仿真结果表明，所提出的CL CS-MAC方案比载波侦听多路访问（CSMA）和压缩感知介质访问控制（CS-MAC）方案具有更高的吞吐量和鲁棒性。
