Extracting Target Detection Knowledge Based on Spatiotemporal Information in Wireless Sensor Networks
Wireless sensor networks (WSNs) have been deployed for many applications of target detection, such as intrusion detection and wildlife protection. In these applications, the first step is to detect whether the target is present or not. However, most of the existing work uses the “simple disk model”...
Saved in:
| Main Authors: | Tian Wang, Zhen Peng, Cheng Wang, Yiqiao Cai, Yonghong Chen, Hui Tian, Junbin Liang, Bineng Zhong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-02-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2016/5831471 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Consensus Target Tracking in Switching Wireless Sensor Networks with Outliers
by: Yan Zhou, et al.
Published: (2014-04-01) -
Spatiotemporal correlation–based adaptive sampling algorithm for clustered wireless sensor networks
by: Wenyu Cai, et al.
Published: (2018-08-01) -
A Multiple Target Localization with Sparse Information in Wireless Sensor Networks
by: Liping Liu, et al.
Published: (2016-05-01) -
Spatiotemporal Correlation Based Fault-Tolerant Event Detection in Wireless Sensor Networks
by: Kezhong Liu, et al.
Published: (2015-10-01) -
Adaptive Sensor Activation Algorithm for Target Tracking in Wireless Sensor Networks
by: Wei Zhou, et al.
Published: (2012-06-01)