scholarly journals Mobile and Web Architectures of Vehicle Tracking and Human-Object Tracking Systems in Wireless Sensor Networks

2016 ◽  
pp. 156-160 ◽  
Author(s):  
Murat Dener
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Object Tracking ◽  
Vehicle Tracking ◽  
Wireless Sensor ◽  
Tracking Systems ◽  
Human Object

scholarly journals Object tracking through RSSI measurements in wireless sensor networks

2008 ◽  
Vol 44 (10) ◽  
pp. 653 ◽  
Author(s):  
F. Viani ◽  
L. Lizzi ◽  
P. Rocca ◽  
M. Benedetti ◽  
M. Donelli ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Object Tracking ◽  
Wireless Sensor

scholarly journals A Combined Localization Algorithm for Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Xiaogang Qi ◽  
Xiaoke Liu ◽  
Lifang Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
State Of The Art ◽  
Sensor Nodes ◽  
Vehicle Tracking ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Environment And Health ◽  
Anchor Nodes ◽  
Positioning Algorithm

Wireless sensor networks (WSNs) are widely used in various fields to monitor and track various targets by gathering information, such as vehicle tracking and environment and health monitoring. The information gathered by the sensor nodes becomes meaningful only if it is known where it was collected from. Considering that multilateral algorithm and MDS algorithm can locate the position of each node, we proposed a localization algorithm combining the merits of these two approaches, which is called MA-MDS, to reduce the accumulation of errors in the process of multilateral positioning algorithm and improve the nodes’ positioning accuracy in WSNs. It works in more robust fashion for noise sparse networks, even with less number of anchor nodes. In the MDS positioning phase of this algorithm, the Prussian Analysis algorithm is used to obtain more accurate coordinate transformation. Through extensive simulations and the repeatable experiments under diverse representative networks, it can be confirmed that the proposed algorithm is more accurate and more efficient than the state-of-the-art algorithms.

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