Wireless underground sensor networks (WUSN) consist of wireless devices that operate below the ground surface. These devices are buried completely under dense soil, thus electromagnetic wave transmits only through soil medium. However, the high attenuation that caused by soil is the main challenge for the electromagnetic wave transmission for WUSN. In this study, architecture of wireless underground sensor network communication was established. The experimental measurements were conducted using WUSN sensor nodes at three different carrier frequencies, respectively. Received signal strength and packet error rate were examined for communication links between the sensor nodes. The test results showed that carrier frequency was one of the main factors that affected electromagnetic wave propagation in the soil medium. It was concluded that the burial depth of the sensor nodes, horizontal inter-node distance, and soil volumetric water content have significant impacts on the signal strength and packet error rate during the electromagnetic wave propagation within a WUSN.
The sharing economy, based on collaboration, sharing, and innovation, has brought about a disruptive revolution in the transformation of the economy and provided a new operating mechanism for promoting sustainable consumption. Therefore, exploring which signals in the sharing economy can effectively stimulate customer consumption behaviors is of great significance. The research uses the signal-interpretation-response (I-I-R) model to build a research framework for customer sustainable consumption behaviors in the context of the sharing economy. With the help of web crawler technology, we captured customer online review data on Airbnb, the sharing accommodation platform, to study the driving path to interpret how multiple signals from different sources influence sustainable consumption behaviors. Regression research shows that the scores in the customer signal, the sustainable services provided in the service provider signal, the super-host certification in the platform signal, and the interactive effects of the three signals have a significant positive impact on customer sustainable consumption behaviors. Consequently, the increase of customer sustainable consumption behaviors improves sales performance. Furthermore, the fuzzy-set qualitative comparative analysis (fsQCA) found five configurations for customer sustainable consumption behaviors based on different property types. The research results provide a reference for strengthening customer sustainable consumption behaviors and improving the service quality of platforms and service providers.
In recent years, many applications have been proposed for wireless sensor networks (WSN). One of these is agriculture, where WSN can play an important role in the handling and management of water resources for agricultural irrigation and so on. The WSN suffer from intensive human involvement and delay of information. This paper shows that the wireless underground sensor networks (WUSN), which communicates in the soil is different from the terrestrial WSN. WUSN devices are deployed completely below ground and do not require any wired connections. Each device contains all necessary sensors, memory, a processor, a radio, an antenna and a power source. Here, the WUSN architecture for agriculture information system is introduced. The framework to deploy and operate the WUSN is developed. Based on the framework, WUSN in different frequency, buried depth and volumetric water content of soil are tested and results are discussed.
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