A Robust Wireless Sensor Network Localization Algorithm in Mixed LOS/NLOS Scenario
AbstractLocalization algorithms based on received signal strength indication (RSSI) are widely used in the field of target localization due to its advantages of convenient application and independent from hardware devices. Unfortunately, the RSSI values are susceptible to fluctuate under the influence of non-line-of-sight (NLOS) in indoor space. Existing algorithms often produce unreliable estimated distances, leading to low accuracy and low effectiveness in indoor target localization. Moreover, these approaches require extra prior knowledge about the propagation model. As such, we focus on the problem of localization in mixed LOS/NLOS scenario and propose a novel localization algorithm: Gaussian mixed model based non-metric Multidimensional (GMDS). In GMDS, the RSSI is estimated using a Gaussian mixed model (GMM). The dissimilarity matrix is built to generate relative coordinates of nodes by a multi-dimensional scaling (MDS) approach. Finally, based on the anchor nodes’ actual coordinates and target’s relative coordinates, the target’s actual coordinates can be computed via coordinate transformation. Our algorithm could perform localization estimation well without being provided with prior knowledge. The experimental verification shows that GMDS effectively reduces NLOS error and is of higher accuracy in indoor mixed LOS/NLOS localization and still remains effective when we extend single NLOS to multiple NLOS. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Li, B.; Cui, W.; Wang, B. A Robust Wireless Sensor Network Localization Algorithm in Mixed LOS/NLOS Scenario. Sensors 2015, 15, 23536-23553.
Li B, Cui W, Wang B. A Robust Wireless Sensor Network Localization Algorithm in Mixed LOS/NLOS Scenario. Sensors. 2015; 15(9):23536-23553.Chicago/Turabian Style
Li, Bing; Cui, Wei; Wang, Bin. 2015. "A Robust Wireless Sensor Network Localization Algorithm in Mixed LOS/NLOS Scenario." Sensors 15, no. 9: 23536-23553.