Efficient indoor localization and error correction algorithm

Recently, paradigm of system integration changes into distributed computing environment. Advances in the network and hardware accumulation technology have enabled the development of micro-sensors which can manage wireless communication. Therefore, indoor localization services using wireless signal are social issues. Wireless signal is affected by signal distortion, reflection, channel fading, and path loss. Therefore, we propose effective error correction method to obtain accurate distance information. In this paper, the presented approach progressed in two phases: the first phase offers to problems of existing localization method and the Kalman-filter algorithm. The second phase offers to problems of the coverage and power consumption of sensor nodes in indoor. Finally, we propose the effective localization and error correction algorithm.