Efficient indoor localization and error correction algorithm

Authors:
Yong-Ki Ku;Choon-Sung Nam;Dong-Ryeol Shin
Affiliations:
School of Information and Communication Engineering, Sungkyunkwan University, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Korea;School of Information and Communication Engineering, Sungkyunkwan University, Korea
Venue:
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Year:
2010

Citing 5
Cited 0

Some computer science issues in ubiquitous computing

Communications of the ACM - Special issue on computer augmented environments: back to the real world
Location Systems for Ubiquitous Computing

Computer
An Introduction to the Kalman Filter

An Introduction to the Kalman Filter
Range-free localization schemes for large scale sensor networks

Proceedings of the 9th annual international conference on Mobile computing and networking
Indoor location tracking using RSSI readings from a single Wi-Fi access point

Wireless Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.