Name
Title | ||
|---|---|---|
Hybrid Localization Algorithm in Wireless Sensor Networks and ITS Application in Building Monitoring |
Abstract | ||
|---|---|---|
Localization, the determination of geographical location of sensors is a fundamental problem in wireless sensor networks. In this paper we consider a static wireless network in which the reference nodes are static-non moving. We propose a positioning method known as hybrid optimizing algorithm (HOA) which combines steepest decent method and Taylor series expansion method. The steepest decent method converges quickly at initial iterations and has less computational complexity. The performance of Taylor series method depends on initial estimation. We conduct simulation experiments to evaluate the performance of these methods. Results show that HOA achieves better performance on position accuracy as it takes the advantages of both the methods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IIAI-AAI.2014.30 | IIAI-AAI |
Keywords | DocType | Citations |
gradient methods,wireless sensor networks,hoa,its application,taylor series expansion method,computational complexity,hybrid localization algorithm,positioning method,steepest decent method,general nodes,hybrid optimizing method,localization,reference nodes | Conference | 1 |
PageRank | References | Authors |
0.36 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lichuan Liu | 1 | 80 | 7.03 |
| Mavidi, G. | 2 | 1 | 0.36 |