International Journal of Advanced Research in Computer Engineering & Technology
To track the correct location of a mobile user is a critical role for location services in an indoor environment. Low complexity, low power and low cost are the sole characteristics of wireless sensor network. Indoor position system performance can be improved drastically with these properties. Scattering diffraction and reflection has adverse effect on radio signal propagation; therefore the received signal strength requires good calibration method to provide correct position. Grey prediction method is used in this paper for wireless sensor network and it makes use of wireless techniques (ZigBee/802.15.4).