Name
Abstract | ||
|---|---|---|
An algorithm for solving a sensor localization problem on a low-cost microcontroller platform is presented in this paper. Localization is described as an optimization problem and the use of microimmune algorithm (μIA) is proposed for solving it. The presented design of μIA is able to perform under restricted memory capacity of a majority of standard low-cost microcontroller platforms. A microimmune optimization approach was compared to a closed form solution using subspace techniques and based on the simulation experiments, a comparable quality of both optimization approaches was obtained. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SAS.2015.7133647 | Sensors Applications Symposium |
Keywords | Field | DocType |
microcontrollers,optimisation,sensors,closed form solution,low-cost microcontroller platform,memory capacity,microimmune algorithm,microimmune optimization approach,sensor network localization,subspace techniques,localization,microimmune algorithm,optimization,sensor networks,subspace techniques | Subspace topology,Computer science,Algorithm,Closed-form expression,Theoretical computer science,Microcontroller,Wireless sensor network,Optimization problem | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Slaven Glumac | 1 | 2 | 1.41 |
| Damir Arbula | 2 | 6 | 1.91 |
| Zdenko Kovacic | 3 | 59 | 15.27 |