Abstract
Recently, with computer downsizing and power saving, the topics related to sensor networks are studied widely. Sensor networks are one of the key technologies for environmental monitoring and human support. In sensor networks, the position estimation technique of the sensor network node is one of the important elemental techniques. Therefore, there are many studies about position estimation methods in this field. In order to obtain position data of the sensor networks node, many researchers have focused on Received Signal Strength Indicator (RSSI). However, in indoor environment, estimation accuracy based on RSSI is affected by multipath fading and obstacles such as humans. To decrease environmental influence and emphasize the benefit of RSSI, we propose RSSI measurement sensor modules, which are based on Low-Frequency wave (LF). Since LF-based RSSI is not influenced by multipath fading and obstacles, the obtained RSSI data is not noisy. Thus, by obtaining robust information from sensors, we can easily estimate the position of sensor network node, without applying the complex position estimation algorithm. In this paper, the robustness of proposed modules is evaluated through several experiments. To test the effectiveness of the proposed sensor modules, a position estimation experiment is conducted using an algorithm that takes into consideration antenna radiation pattern.
