Utilizing Coherent Transmission in Cooperative Compressive Sensing in IoT

Utilizing the sparsity of observations, compressive sensing (CS) is a promising technique to observe physical quantities in the Internet of Things (IoT). The existing CS-based IoT networks require the distributed nodes to realize the CS measurements before transmission, which leads to the heavy computation burden at nodes and the low network performance, especially in large-scale IoT networks. To tackle this problem, in this article, we propose a multicluster cooperative CS (CCS) scheme for large-scale IoT networks to observe physical quantities efficiently, which utilizes the cooperative observation and coherent transmission to realize CS measurement. Specifically, CCS-based IoT first utilizes the intracluster cooperation to observe physical quantities and then exploits the intercluster coherent transmission to obtain CS measurements. To evaluate the performance of CCS-based IoT, the upper bound of average recovery error is derived, which is closely associated with the node clustering and the power allocation. Therefore, under the total power constraint, we jointly optimize the node clustering and power allocation to improve recovery performance. With the optimized result, the cooperation gain of the CCS scheme relative to others is derived, which indicates that the CCS scheme is superior as long as total power exceeds a certain threshold. Furthermore, the exact and asymptotic outage probability and average throughput of CCS-based IoT are derived. Finally, simulation results illustrate the correctness of the theoretical analysis.

Automated summary

In this article, a multicluster cooperative CS (CCS) scheme is proposed for large-scale IoT networks to efficiently observe physical quantities. By utilizing cooperative observation and coherent transmission, the CCS scheme improves the performance of CS-based IoT networks. The scheme optimizes node clustering and power allocation under total power constraint to enhance recovery performance and cooperation gain.