Multilateration: Methods for Clustering Intersection Points for Wireless Sensor Networks Localization With Distance Estimation Error
In this paper, the authors describe three methods for localizing a wireless sensor network node, using anchor nodes in its neighbourhood, when there is an error in distance estimation present. They use the intersection points of the circles formed with the estimated distances from each anchors and they apply different methods to form clusters. They, then use the cluster points to calculate the final position. A particularly promising and hot research area has been the design and analysis of Wireless Sensor Networks (WSN), which has attracted researchers from very different backgrounds, such as hardware, software, algorithms, and data structures, as well as researchers from various application areas.