ChulYoung Park

Localization Algorithm Design and Implementation to Utilization RSSI and AOA of Zigbee

In this paper, we has implemented the localization algorithm through RSSI and AOA of Zigbee. The RSSI (Received Signal Strength Indicator) method is used for the localization of Zigbee and affected a lot by intensity, distance and interruption of signals. The combined algorithm of AOA (Angle of Arrival) and RSSI has been designed and implemented to make up the weaknesses of RSSI. As long as we knew, although the previous system has been implemented and used through the UWB (Ultra Wide-Band) or CSS communication methods, the firstly implemented system is the location recognition algorithm through RSSI and AOA of Zigbee. In this paper has obtained the result from the repeated tests to achieve the measurement of location with the accuracy of average 35 ~ 36 cm when the suggested system was placing the beacon on the four corners of 2 dimensional rectangular space with 4m wide and 2m long, and the receiver on the random space.

AoA Localization System Design and Implementation Based on Zigbee for Applying Greenhouse

In this paper, we showed AoA localization system design and implementation based on Zigbee for applying Greenhouse. The proposed system can be realized with low-cost. Our system can provide various applications in the Greenhouse. That can be output forecasts or equipment control by sector. In this paper, We build a testbed and has obtained the result from the repeated tests to achieve the measurement of location with the accuracy of average 35 cm.

Greenhouse Environment Monitoring and Automatic Control System Based on Dew Condensation Prevention

Dew condensation on the leaf surface of greenhouse crops causes diseases by fungus, and thus badly affecting the growth of the crops. In this paper, we present a WSN based automatic control system to prevent dew condensation in the greenhouse environments. The system is composed of sensor nodes for collecting data, base nodes for processing collected data, relay nodes for adjusting the environment inside a greenhouse and an environment server for storage and processing of collected data. Using the Barenbrug formula for calculating the dew point on the leaves, this system is realized to prevent a dew condensation phenomenon on the crops surface acting as an important element in diseases generation. We also constructed a test bed the usual greenhouse in order to verify the performance of our system with regard to dew condensation control.

Accuracy Estimation of Hybrid Mode Localization Method Based on RSSI of Zigbee

The Zigbee support RSSI (Received Signal Strength Indicator) for the localization measurement. But, RSSI occur error by signal attenuation. We study Hybrid method that the accuracy measured localization of Zigbee. The Hybrid methods are using RSSI and AOA method. In this chapter, we measured angle with distance of RSSI value based on hybrid method. Also, we get standard deviation using experiment data, angle and distance error measured by the simulation. We study on the influence of distance and angle on location error, we conformed our method by comparing our result to DV-hop and DV-distance results

Livestock Searching System on Mobile Devices Using 2D-Barcode

In this article, we have designed and implemented livestock searching system on mobile devices using 2D-Barcode. 2D-Barcodes capacities have risen a hundredfold for 1D-Barcode. In recent years, it can share data, (text, phone number, hyperlink, etc.) by means of application on feature phone and smart devices. Also, QR-Code is suitable for identification of missing livestock, because of QR-Code is easy to print with low-cost and it was designed to withstand external damage. And it can store identity of livestock and provide the location information to livestock-farmer using smart devices. Also, our system generates QR-Code that fit vCard v3.0 format with livestock-farmer. Therefore, the first people to found a missing livestock that can contacts the farmer immediately. In order to do this, we developed mobile application and server program. In addition to this, we developed QR-Code generation module and we built database server from the farmer’s identity and livestock’s identity.