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- Title
RSS-based indoor localisation using MDCF.
- Authors
Linqing Gui; Mengxia Yang; Peng Fang; Shuai Yang
- Abstract
As a low-cost distance measurement method, received signal strength (RSS) is often used for indoor wireless sensor localisation. However, RSS values can be easily influenced by multi-path fading, noise and other environmental parameters. This decreases the accuracy and stability of estimated distance. To improve localisation accuracy, this study proposes a multiplicative distance-correction factor (MDCF) to counteract the inaccuracy of estimated distance. In the same indoor environment, the product of this CF and estimated distance is regarded as a good approximation of real distance between unknown node and an anchor node. Then, two location estimated methods based on MDCF (MDCF-grid and MDCF-particle swarm optimisation) are proposed. The experimental results confirm that the proposed location estimation methods can significantly improve localisation accuracy without extra hardware in practical indoor scenarios.
- Subjects
INDOOR radio; WIRELESS sensor networks; SENSOR placement; APPROXIMATION theory; PARTICLE swarm optimization
- Publication
IET Wireless Sensor Systems (Wiley-Blackwell), 2017, Vol 7, Issue 4, p98
- ISSN
2043-6386
- Publication type
Article
- DOI
10.1049/iet-wss.2016.0085