Name
Title | ||
|---|---|---|
Joint Synchronization and Localization for Underwater Sensor Networks Considering Stratification Effect. |
Abstract | ||
|---|---|---|
In underwater wireless sensor networks, time synchronization and localization are basic requirements in many applications. A joint synchronization and localization framework is expected to provide better accuracy. In this paper, we propose a unified framework to execute synchronization and localization simultaneously taking stratification effect into account. In this method, the stratification effect of underwater medium is modeled using a ray tracing approach. The maximum likelihood (ML) estimator is derived, which is shown to be highly nonlinear and nonconvex. Therefore, we employ the Gauss-Newton algorithm to solve the original nonconvex ML problem in an iterative manner. Furthermore, the Cramer-Rao lower bound for this problem is derived as a benchmark. Simulation results indicate that the proposed method outperforms the existing methods in both accuracy and energy efficiency. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ACCESS.2017.2778425 | IEEE ACCESS |
Keywords | Field | DocType |
Underwater sensor networks (UWSNs),synchronization,localization,maximum likelihood (ML),Gauss-Newton method,stratification effect | Synchronization,Telecommunications,Nonlinear system,Propagation delay,Ray tracing (graphics),Efficient energy use,Computer science,Upper and lower bounds,Algorithm,Wireless sensor network,Estimator,Distributed computing | Journal |
Volume | ISSN | Citations |
5 | 2169-3536 | 1 |
PageRank | References | Authors |
0.34 | 17 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bingbing Zhang | 1 | 8 | 5.45 |
| Hong-Yi Wang | 2 | 12 | 9.53 |
| Liming Zheng | 3 | 1 | 1.69 |
| jianfei wu | 4 | 5 | 2.89 |
| Zhaowen Zhuang | 5 | 43 | 11.88 |