Adaptive Localization in Wireless Sensor Network through Bayesian Compressive Sensing
The estimation of the localization of targets in wireless sensor network is addressed within the Bayesian compressive sensing (BCS) framework. BCS can estimate not only target locations but also noise variance of the environment. Furthermore, we provide adaptive iteration BCS localization (AIBCSL) a...
Saved in:
| Main Authors: | Zuoxin Xiahou, Xiaotong Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-08-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/438638 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive Source Location Estimation Based on Compressed Sensing in Wireless Sensor Networks
by: Lei Liu, et al.
Published: (2012-01-01) -
Localization with a Mobile Beacon Based on Compressive Sensing in Wireless Sensor Networks
by: Chunhui Zhao, et al.
Published: (2013-10-01) -
Adaptive sensing and compression rate selection scheme for energy-harvesting wireless sensor networks
by: Ikjune Yoon, et al.
Published: (2017-06-01) -
Link Sensing-Adaptive Passive Object Localization in Wireless Sensor Networks
by: Tianzhang Xing, et al.
Published: (2014-08-01) -
A compressive sensing–based adaptable secure data collection scheme for distributed wireless sensor networks
by: Zhen Liu, et al.
Published: (2019-06-01)