MDS- MAP Algorithm For Localization
| Author(s) | : | Lalita Baburao Choudhary, V.V.Yerigeri |
| Institution | : | PG Student, Dept. of PG, M.B.S.E. College of Engineering, Ambejogai, India |
| Published In | : | Vol. 5, Issue 3 — March 2018 |
| Page No. | : | 495-503 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
We propose an approach that uses connectivity information—who is within communications range ofwhom—to derive the locations of nodes in a network. The approach can take advantage of additional information, suchas estimated distances between neighbours or known positions anchor nodes, if it is available. It is based onmultidimensional scaling (MDS), an efficient data analysis technique that takes O(n)3time for a network of n nodes.Unlike previous approaches, MDS takes full advantage of connectivity or distance information between nodes that haveyet to be localized. We examined the performance of our algorithm for parameters by conducting simulation.
Lalita Baburao Choudhary, V.V.Yerigeri, “MDS- MAP Algorithm For Localization”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 3, pp. 495-503, March 2018.
