Determining the location of any wireless node in a wireless network becomes a field of extensive study. The method used in wireless networks like GPS or Wi-Fi are very advanced but when we talk about any indoor environment the scenario is pretty much different. Large wireless networks like GPS, Wi-Fi or Wi-max instruments are able to perform complex calculations and have good amount of power back up. While scenario is different for indoor environments. When we talk about indoor environments the wireless nodes covers a small area due to which they have limited power and computational complexity. Indoor environments have many obstacles which restrict the movement of waves (ex. Walls, tables, chairs, refrigerators, etc.).
Zigbee is the popular wireless network which is commonly used for indoor wireless network. IEEE has given zigbee the protocol stack 802.15.4. It is easily available in the market and on the Internet also its deployment is easy as compared to other wireless network.
Various techniques like time difference of arrival (TDOA), angle of arrival (AOA), etc. has been proposed for the localization in zigbee network . But the localization error (the difference between actual location and calculated location of any new wireless node) in these techniques are high. In our work we try to find the location of any new wireless node in the zigbee network using received signal strength (RSSI) and ANFIS (Adaptive Neuro Fuzzy Inference Systems) technique using triangulation algorithm. The simulations are performed in MATLAB to perfrom localization in zigbee network .