Abstract—This paper presents a fuzzy-based indoor positioning system (IPS) by using the information of neighbor points to estimate the location of object. An 8x8 square meters indoor area was used as the experimental area. In the experimental field, the received signal strength (RSS) of 288 points, 392 points, 440 points and 704 points were sensed and collected by a hexagonal positioning station which is composed of six printed-circuit board SPARKLAN AX-106M antennas and Zigbee module. The sensed RSS values are then used to be the information of fuzzy system for the object’s position estimation. From the experimental results shown, the proposed IPS and fuzzy estimation method do have the accurate positioning performance and indeed has the potential in the real application.
Index Terms—Fuzzy, IPS, neighbor points, RSS.
Chih-Yung Chen is with the Computer and Communication Department, Shu-Te University, Kaohsiung, Taiwan (e-mail: mikechen@stu.edu.tw ).
Shen-Whan Chen is with the Department of Communication Engineering, I-Shou University, Kaohsiung, Taiwan (e-mail: jasonchen@isu.edu.tw).
Yu-Ju Chen is with the Department of Information Management, Cheng-Shiu University, Kaohsiung, Taiwan (e-mail: yjchen@csu.edu.tw).
Rey-Chue Hwang is with the Department of Electrical Engineering, I-Shou University, Kaohsiung, Taiwan (*Corresponding author; tel.: 886-7-6577711; e-mail: rchwang@isu.edu.tw).
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Cite: Chih-Yung Chen, Shen-Whan Chen, Yu-Ju Chen, and Rey-Chue Hwang, "Fuzzy-Based Indoor Positioning by Using the Neighbor Points," International Journal of Future Computer and Communication vol. 7, no.3, pp. 74-78, 2018.
