A Modified RSSI-Based Indoor Localization Method in Wireless Sensor Network
Zhe Chen, Yuchao Jiang, Wenting Han, Fuliang Yin
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.51How to use a DOI?
- location; RSSI; B-box; Iteration
- Node location is one of the basic problems in wireless sensor networks (WSN). We investigate the wireless localization methods based on providing received signal strength index (RSSI) measurements between a mobile node and several access nodes in a WSN. In order to estimate the distance between two nodes, a propagation model is used to transform RSSI into the corresponding distance that the mobile node is away from the access points according to the RSSI signals. Next, the mobile node coordinate can be obtained by any location algorithm such as weighted B-box considered as the better method compared with the trilateraion method. To achieve a better location result, Gaussian filtering, piecewise fitting, and total least square estimation are introduced to improve precision of estimated model parameters, and iterative algorithm is adopted to further reduce positioning errors. Several simulation results reveal that the MSE of the proposed method is cut off at lease 2/3 while comparing to the B-box algorithm.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhe Chen AU - Yuchao Jiang AU - Wenting Han AU - Fuliang Yin PY - 2014/03 DA - 2014/03 TI - A Modified RSSI-Based Indoor Localization Method in Wireless Sensor Network BT - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering PB - Atlantis Press SP - 232 EP - 236 SN - 1951-6851 UR - https://doi.org/10.2991/mce-14.2014.51 DO - https://doi.org/10.2991/mce-14.2014.51 ID - Chen2014/03 ER -