Name
Title | ||
|---|---|---|
An Energy-Efficient Partition-Based Framework With Continuous Ant Colony Optimization for Target Tracking in Mobile Sensor Networks |
Abstract | ||
|---|---|---|
Target tracking is one of the most common applications in mobile sensor networks. However, since mobile sensors are often battery powered, determining how to schedule the movements of mobile sensors to reduce energy consumption remains an important and challenging task. In this paper, a partition-based target tracking framework with a modified continuous ant colony optimization approach is propose... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TETCI.2019.2940978 | IEEE Transactions on Emerging Topics in Computational Intelligence |
Keywords | DocType | Volume |
Target tracking,Wireless sensor networks,Energy consumption,Ant colony optimization,Sensors,Optimization | Journal | 5 |
Issue | ISSN | Citations |
4 | 2471-285X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tingyang Wei | 1 | 0 | 0.68 |
| Jing-hui Zhong | 2 | 380 | 33.00 |
| Jun Zhang | 3 | 2491 | 127.27 |