Name
Abstract | ||
|---|---|---|
Localization has been a fundermental and crucial issue for wireless sensor networks (WSNs). In this paper, we propose a distributed range-free localization scheme based on RSS rank vectors (RRV). In RRV, each normal node is first localized in an estimative rectangle based on the connectivity constraints. Then the estimative rectangle of the normal node is refined with the RSS rank vector. At last, the centroid of the estimated residence area is calculated as the location of the normal node. The performance of the proposed methods is validated through simulations. Results confirm that RRV outperforms competing localization approaches. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/NBiS.2016.6 | PROCEEDINGS OF 2016 19TH INTERNATIONAL CONFERENCE ON NETWORK-BASED INFORMATION SYSTEMS (NBIS) |
Keywords | Field | DocType |
wireless sensor networks, range-free localization, received signal strength | Computer science,Rectangle,Computer network,RSS,Wireless sensor network,Centroid | Conference |
ISSN | Citations | PageRank |
2157-0418 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zengfeng Wang | 1 | 16 | 2.34 |
| Hao Zhang | 2 | 0 | 1.01 |
| Tingting Lu | 3 | 26 | 5.00 |