Multi-group target tracking method based on adaptive predictive clustering in WSN
Aiming at the imbalance between energy using and tracking accuracy in multi-sensor target tracking,a method of trade-off network lifetime and accuracy was proposed.It was a multi-group target tracking method based on adaptive predictive clustering (APCMT),realizing the simultaneous tracking of multi...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2016-07-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016128/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Aiming at the imbalance between energy using and tracking accuracy in multi-sensor target tracking,a method of trade-off network lifetime and accuracy was proposed.It was a multi-group target tracking method based on adaptive predictive clustering (APCMT),realizing the simultaneous tracking of multiple groups.Firstly,cluster was realized,which was to capture the changes of group behavior attributes,such as forming,mergering and spliting.Then,sensors were selected,which were expected to contribute to the group area sensor activation,and the sensors were used for group tracking.Scene simulation was in a square area of 1 000 m ×1 000 m with 500 randomly deployed sensors.The effectiveness of the proposed method was verified by the simulation results.Compared with Kalman,energy-effective node selection (EENS) method and the improved dynamic cluster (IDC) method,the tracking precision of proposed method was higher.And because of the number of activate sensors was less,the computational time was less,the network lifetime had been improved significantly. |
|---|---|
| ISSN: | 1000-0801 |