원문정보
초록
영어
This study aims to suggest a received signal strength indicator (RSSI) based superposition location estimation algorithm (SLEA) in consideration of indoor and outdoor radio environments in a wireless sensor network and to analyze its performance based on the embodied test bed. The result showed that the precision in SLEA location estimates was better than that of existing trilatelation-utilized methods. In particular, the improvement in the precision of location estimation was quite significant when information on the reference distance and the propagation constant were applied real time. To verify the simulation result in an actual environment, an experiment on location estimation was conducted at two spots (indoor and outdoor) in an environment similar to the simulation by means of Zigbee Remote Control according to IEEE 802.15.4.
목차
1. Introduction
2. Existing Location Estimation Technologies
3. Superposition Location Estimation Algorithm
3.1. Estimation of BN Baseline Area
3.2. Estimation of BN Area
3.3. The Finalized Coordinate of BN
4. Performance Analysis
4.1. Experiment Environment
4.2. Experimental Methods
4.3. Experimental Results
5. Conclusion
References