scholarly journals Continuous objects detection and tracking in wireless sensor networks

2016 ◽  
Vol 7 (4) ◽  
pp. 489-508 ◽  
Author(s):  
Tarek R. Sheltami ◽  
Shehryar Khan ◽  
Elhadi M. Shakshuki ◽  
Menshawi K. Menshawi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Detection And Tracking ◽  
Continuous Objects ◽  
Objects Detection

Detection and Tracking for Anomalous Motion Targets Using Wireless Sensor Networks

2014 ◽  
Vol 599-601 ◽  
pp. 1478-1483
Author(s):  
Jing Xiong ◽  
Zhi Jing Liu ◽  
Guo Liang Tang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Template Matching ◽  
Gaussian Mixture ◽  
Time Difference ◽  
Wireless Sensor ◽  
Feature Points ◽  
Swarm Optimization ◽  
Detection And Tracking ◽  
Surveillance Area

In this paper, we focus on the detection and relay tracking for anomalous motion targets, and present an automatic solution which combined the advantage of improved wireless sensor networks with single intelligent monitor. Particle Swarm Optimization (PSO) is used to deploy legitimately wireless sensor networks that consist of many static intelligent monitors and dynamic intelligent monitors, moving targets are extracted using Gaussian Mixture Model and the time difference method by each intelligent monitor, then each monitor judges the behavior of the motion target is legal or not by the new method couple with behavior template matching and feature points tracking. Monitors relay track the anomalous target considering the associated information and time difference between in and out to the surveillance area. The experiment results show that the solution has a better performance and less energy lost than other analogous methods.

scholarly journals A Mechanism Filling Sensing Holes for Detecting the Boundary of Continuous Objects in Hybrid Sparse Wireless Sensor Networks

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 7922-7935 ◽  
Author(s):  
Jianming Xiang ◽  
Zhangbing Zhou ◽  
Lei Shu ◽  
Taj Rahman ◽  
Qun Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Continuous Objects

scholarly journals Performance Evaluation of Wireless Sensor Networks for Event-Detection with Shadowing-Induced Radio Irregularities

2007 ◽  
Vol 3 (3-4) ◽  
pp. 251-266
Author(s):  
Giuseppe De Marco ◽  
Tao Yang ◽  
Makoto Ikeda ◽  
Leonard Barolli
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Event Detection ◽  
Radio Signal ◽  
Previous Analysis ◽  
Radio Channel ◽  
Wireless Sensor ◽  
Detection And Tracking ◽  
Minimum Number ◽  
The Subject

In this paper, we study a particular application of wireless sensor networks for event-detection and tracking. In this kind of application, the transport of data is simplified, and guaranteeing a minimum number of packets at the monitoring node is the only constraint on the performance of the sensor network. This minimum number of packets is called event-reliability. Contrary to other studies on the subject, here we consider the behavior of such a network in presence of a realistic radio model, such as the shadowing of the radio signal. With this setting, we extend our previous analysis of the event-reliability approach for the transport of data. In particular, both regular and random networks are considered. The contribute of this work is to show via simulations that, in the presence of randomness or irregularities in the radio channel, the event-reliability can be jeopardized, that is the constraint on the minimum number of packets at the sink node could not be satisfied.

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