Title :
Partitioning Scheme Based on Convolution Characteristic Values of RSS Measuring from APs
Author :
Hwang, Chi-kuang ; Yuan, Hung-Min
Author_Institution :
Dept. of Electr. Eng., Chung Hua Univ., Hsinchu
Abstract :
For the wireless local area network (WLAN) indoor environment, this paper utilizes the characteristic values, generated from the convolution between each pair of the receiving signal strength (RSS) from access points (APs), to predict the most possible section of the location. The advantage by adopting the convolution technique is that it can resolve the receiving time difference among the APs for the mobile terminal (MT) at the same location, or even at various sites. Additionally, the noise effect can also be smoothed by this technique. The experimental setup is that there are four APs located at the corners of a rectangle, and the corresponding four received RSSs can be obtained at the MT. Thus, six combinatory convolutions are calculated from each pair of the RSSs. Based on difference between of these characteristic convolution values, the rectangle area can be partitioned into several sections. After the reference points are implemented, the effect of different antenna gains can be identified and integrated into this partition scheme. Moreover, the undesired effect of the other AP which is not associated with the same workgroup but located within the same area can also be traceable.
Keywords :
convolution; mobile radio; radio access networks; wireless LAN; AP; RSS; WLAN; access point; convolution characteristic value; mobile terminal; partitioning scheme; receiving signal strength; smoothing technique; wireless local area network; Character generation; Convolution; Databases; Electric variables measurement; Global Positioning System; Indoor environments; Land mobile radio cellular systems; Phase estimation; Radar; Wireless LAN; Convolution; Partition; Received signal strength (RSS);
Conference_Titel :
Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE
Conference_Location :
Yilan
Print_ISBN :
978-0-7695-3473-2
Electronic_ISBN :
978-0-7695-3473-2
DOI :
10.1109/APSCC.2008.139