Localization in wireless sensor network using LLE-ISOMAP algorithm

摘要

Node Localization is the major challenge in Wireless Sensor network. The presence of measurement error and noise in the environment makes process of localization more erroneous and complicated. In this paper LLE-Isomap based manifold learning algorithm is used to solve the problem of node localization. Results of LLE-Isomap is compared with various others manifold learning algorithms like MDS, Isomap, LLE method and PLS-Isomap. Results show that LLE-Isomap outperforms to the other techniques in node localization.