Novel Environmental Recognition Scheme with Mobile Data Gathering Station in Physical Wireless Parameter Conversion Sensor Networks

The evolution of sensor networks is indispensable in modern society, with environmental sensing technologies playing a critical role. Packet communication, commonly used in many systems, is not suited for efficient transmission of environmental information due to the excessive data volume of headers. This paper focuses on the physical wireless parameter conversion sensor networks (PhyC-SN), examining how this innovative approach addresses the issues of packet communication and significantly reduces energy consumption. PhyC-SN allows for simultaneous environmental recognition through the frequency distribution of received signals by switching the carrier frequencies according to sensor information. However, PhyC-SN cannot generate heatmaps that depict the spatial distribution of sensor information. Thus, this study proposes a new method that combines Mobile Data Gathering Stations (MDGS) with PhyC-SN to enable the generation of heatmaps. By leveraging dynamic position control of MDGS and aggregation of sensor data, this combination allows for precise environmental recognition linked with sensor location information. This integration facilitates the construction of an energy-efficient sensor network, offering a sustainable technology solution.