%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