Title :
Range-Free Localization Algorithm for IEEE802.11 WLAN Based on K-NN
Author :
Kuntal, Ashutosh ; Karmakar, Purnendu
Author_Institution :
LNMIIT, Jaipur, India
Abstract :
Nowadays, localization of mobile node using wireless local area network (WLAN) become a most emerging area. Its location based services leads to make it applicable in various fields like intruder identification, healthcare system, navigation etc. To determine the location of a mobile node various localization techniques have been proposed. In this paper, we propose a new range-free localization algorithm based on K-nearest neighbors (K-NN) method for IEEE802.11 WLAN. Our algorithm finds K-NN by comparing received signal strength (RSS) of mobile node (MN). Thereafter, location of MN is computed by calculating weighted average of coordinates of K-NN. We also compared our proposed algorithm with RSS difference and conventional K-NN methods. Extensive simulation results show that the accuracy of our algorithm is better than these two methods. We also examine the effect of network size, grid size, number of access point (AP) and shadowing factor on localization accuracy of proposed algorithm.
Keywords :
RSSI; mobile computing; mobility management (mobile radio); wireless LAN; IEEE802.11 WLAN; K-NN method; K-nearest neighbors method; RSS; access point; healthcare system; intruder identification; localization techniques; location based services; mobile localization; mobile node; range-free localization algorithm; received signal strength; wireless local area network; Accuracy; Fingerprint recognition; IEEE 802.11 Standards; Manganese; Mathematical model; Shadow mapping; Wireless LAN; Access point; Localization; Location estimation; Trilateration; WLAN;
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2014 Sixth International Conference on
Print_ISBN :
978-1-4799-5075-1
DOI :
10.1109/CICSyN.2014.43