LSRR-LA: An Anisotropy-Tolerant Localization Algorithm Based on Least Square Regularized Regression for Multi-Hop Wireless Sensor Networks
As is well known, multi-hop range-free localization algorithms demonstrate pretty good performance in isotropic networks in which sensor nodes distribute evenly and densely.However, these algorithms are easily affected by network topology, causing a significant decrease in positioning accuracy.To improve the localization performance in anisotropic