%0 Electronic Article
%A Linqing Gui
%+ Department of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, People's Republic of China
%A Mengxia Yang
%+ Department of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, People's Republic of China
%A Peng Fang
%+ Department of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, People's Republic of China
%A Shuai Yang
%+ Department of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, People's Republic of China
%K received signal strength
%K multiplicative distance-correction factor
%K multipath fading
%K low-cost distance measurement method
%K indoor wireless sensor localisation
%K RSS-based indoor localisation
%K MDCF-particle swarm optimisation
%X 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.
%@ 2043-6386
%T RSS-based indoor localisation using MDCF
%B IET Wireless Sensor Systems
%D August 2017
%V 7
%N 4
%P 98-104
%I Institution of Engineering and Technology
%U https://digital-library.theiet.org/;jsessionid=2eas3iuhr3vah.x-iet-live-01content/journals/10.1049/iet-wss.2016.0085
%G EN