@article{ART002247107},
author={Daewon Kim},
title={A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2017},
volume={22},
number={7},
pages={63-74},
doi={10.9708/jksci.2017.22.07.063}
TY - JOUR
AU - Daewon Kim
TI - A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application
JO - Journal of The Korea Society of Computer and Information
PY - 2017
VL - 22
IS - 7
PB - The Korean Society Of Computer And Information
SP - 63
EP - 74
SN - 1598-849X
AB - Recently in the area of ICT, the M2M and IoT are in the spotlight as a cutting edge technology with the help of advancement of internet. Among those fields, the smart home is the closest area to our daily lives. Smart home has the purpose to lead a user more convenient living in the house with WLAN (Wireless Local Area Network) or other short-range communication environments using automated appliances. With an arrival of the age of IoT, this can be described as one axis of a variety of applications as for the M2H (Machine to Home) field in M2M. In this paper, we propose a novel technique for estimating the location of a terminal that freely move within a specified area using the RSSI (Received Signal Strength Indication) in the WLAN environment. In order to perform the location estimation, the Fingerprint and KNN methods are utilized and the LMS with the gradient descent method and the proposed algorithm are also used through the error correction functions for locating the real-time position of a moving user who is keeping a smart terminal. From the estimated location, the nearest fixed devices which are general electric appliances were supposed to work appropriately for self-operating of virtual smart home. Through the experiments, connection and operation success rate, and the performance results are analyzed, presenting the verification results.
KW - M2M;IoT;Smart Home;WLAN;Fingerprint;LMS;M2H;Gradient Descent Algorithm
DO - 10.9708/jksci.2017.22.07.063
ER -
Daewon Kim. (2017). A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application. Journal of The Korea Society of Computer and Information, 22(7), 63-74.
Daewon Kim. 2017, "A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application", Journal of The Korea Society of Computer and Information, vol.22, no.7 pp.63-74. Available from: doi:10.9708/jksci.2017.22.07.063
Daewon Kim "A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application" Journal of The Korea Society of Computer and Information 22.7 pp.63-74 (2017) : 63.
Daewon Kim. A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application. 2017; 22(7), 63-74. Available from: doi:10.9708/jksci.2017.22.07.063
Daewon Kim. "A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application" Journal of The Korea Society of Computer and Information 22, no.7 (2017) : 63-74.doi: 10.9708/jksci.2017.22.07.063
Daewon Kim. A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application. Journal of The Korea Society of Computer and Information, 22(7), 63-74. doi: 10.9708/jksci.2017.22.07.063
Daewon Kim. A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application. Journal of The Korea Society of Computer and Information. 2017; 22(7) 63-74. doi: 10.9708/jksci.2017.22.07.063
Daewon Kim. A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application. 2017; 22(7), 63-74. Available from: doi:10.9708/jksci.2017.22.07.063
Daewon Kim. "A Moving Terminal's Coordinates Prediction Algorithm and an IoT Application" Journal of The Korea Society of Computer and Information 22, no.7 (2017) : 63-74.doi: 10.9708/jksci.2017.22.07.063
