Utilising coverage holes and wireless relays for mobile target tracking

2011 ◽  
Vol 7 (1) ◽  
pp. 38 ◽  
Author(s):  
Chia Ching Ooi ◽  
Christian Schindelhauer
Keyword(s):  
Target Tracking ◽  
Wireless Relays ◽  
Mobile Target ◽  
Coverage Holes

Mobile Target Tracking Using Sensor Networks

2006 ◽  
pp. 173-196 ◽  
Author(s):  
Ashima Gupta ◽  
Chao Gui ◽  
Prasant Mohapatra
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Mobile Target

Noncooperative Mobile Target Tracking Using Multiple AUVs in Anchor-Free Environments

2020 ◽  
Vol 7 (10) ◽  
pp. 9819-9833
Author(s):  
Yichen Li ◽  
Lingya Liu ◽  
Wenbin Yu ◽  
Yiyin Wang ◽  
Xinping Guan
Keyword(s):  
Target Tracking ◽  
Mobile Target

Grid-based Mobile Target Tracking Mechanism in Wireless Sensor Networks

2010 ◽  
Vol 5 (6) ◽  
Author(s):  
Kuo-Feng Huang ◽  
Jui-Fa Chen ◽  
Ying-Hong Wang ◽  
Ting-Wei Chang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Wireless Sensor ◽  
Mobile Target ◽  
Grid Based

A Target Tracking Algorithm Based on Internet of Things Spatial Meshing

2014 ◽  
Vol 513-517 ◽  
pp. 1261-1267
Author(s):  
Jia Hong He ◽  
Xiao Ming Zhang ◽  
Yong Heng Wang
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Target Tracking ◽  
Spatial Clustering ◽  
Cluster Head ◽  
Three Dimensional ◽  
Tracking Algorithm ◽  
Fitting Method ◽  
Mobile Target ◽  
Network Overhead

The three-dimensional spatial target tracking based on wireless communication technology has attracted more and more attention due to its importance in the field of Internet of Things.However,there are still some problems including calculation overhead is too high and power consumption is too large.Thus,a distributed three-dimensional target tracking mechanism for the environment of the Internet of Things is proposed.The network structure in the algorithm uses spatial clustering structure, which includes two tier sleep scheduling mechanisms and unite cluster head mechanism. A spatial segmental linear fitting method is adopted to track the target,which have effectively reduced the network overhead and improved tracking efficiency. It also provides a scheduling strategy how to wake up the sensor node guarantee to continue tracking it,when the mobile target lost.Simulation results show that the algorithm is better than the existing target tracking algorithm in tracking efficiency and have a lower power consumption.

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