Title :
Floor estimation algorithm for wireless indoor multi-story positioning systems
Author :
Maneerat, Kriangkrai ; Prommak, Chutima ; Kaemarungsi, K.
Author_Institution :
Sch. of Telecommun. Eng., Suranaree Univ. of Technol., Nakhonratchasima, Thailand
Abstract :
Wireless indoor positioning system has become one of important components in context-aware applications over the years. However, there are still some unsolved problems such as floor determination of mobile target in multi-story buildings. Therefore, this paper presents a simple floor estimation algorithm, which can accurately determine the mobile target´s floor. The proposed algorithm is based on the use of Received Signal Strength (RSS) obtained from wireless interface of sensor node in IEEE 802.15.4 Wireless Sensor Network (WSN). The performance of the proposed algorithm is compared with the nearest floor and the group variance algorithms found in the literature using a real implementation of IEEE 802.15.4 wireless sensor network in our facility. The experimental results showed that our proposed floor estimation algorithm provided the highest floor accuracy with the floor estimation precision of more than 90%.
Keywords :
Zigbee; buildings (structures); indoor radio; object detection; sensor placement; wireless sensor networks; IEEE 802.15.4; RSS; WSN; context-aware applications; floor estimation algorithm; mobile target determination; multistory buildings; received signal strength; sensor node; wireless indoor multistory positioning system; wireless interface; wireless sensor network; Algorithm design and analysis; Databases; Estimation; Floors; Wireless communication; Wireless sensor networks; Floor Determination; Floor Estimation Algorithm; Indoor Positioning System; Multi-floor Building;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2014 11th International Conference on
Conference_Location :
Nakhon Ratchasima
DOI :
10.1109/ECTICon.2014.6839893