Data Acquisition Mechanism of Wireless Sensor Network Pavement Monitoring System Based on Hybrid Compressive Sensing

Wireless sensor networks (WSNs) used for pavement information monitoring usually have a long-chain structure; therefore, the sensor nodes in the network consume uneven amounts of energy. For the application of WSN technology to pavement monitoring, reducing the amount of data transmission in WSNs and balancing the energy consumption at the nodes are essential. This study proposes a data-acquisition mechanism for WSN pavement-monitoring systems based on hybrid compressed sensing (HCS) and establishes a simulation model of the system energy consumption. The data collection proposal is then compared with traditional data collection methods. Experimental results show that the application of HCS to a pavement-monitoring system can reduce the overall energy consumption of the network, balance power consumption among the nodes, and prolong the lifetime of the WSN sensors.