Real-time target tracking simulations in large disparate sensor networks

2007 ◽  
Author(s):  
Hong Lin ◽  
John Rushing ◽  
Sara Graves ◽  
Evans Criswell ◽  
Steve Tanner
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Real Time

Research of Localization Issues in Underwater Sensor Networks

2012 ◽  
Vol 157-158 ◽  
pp. 424-427
Author(s):  
Xian Min Wei
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Real Time ◽  
Development Trend ◽  
Underwater Sensor Networks ◽  
Localization Problem ◽  
Advantages And Disadvantages ◽  
Localization Algorithms ◽  
Underwater Localization ◽  
The Development Trend

Localization problem has great significance in the applications of underwater sensor networks (UWSN), such as real-time monitoring, target tracking and navigation. This paper analized a series of challenges in underwater localization problem, introduced exsiting localization algorithms and discussed their advantages and disadvantages, and then the development trend of localization problem is discussed. Finally, we give some suggestions in the design of localization algoprithms.

scholarly journals Investigations on real time RSSI based outdoor target tracking using kalman filter in wireless sensor networks

2020 ◽  
Vol 10 (2) ◽  
pp. 1943
Author(s):  
K. Vadivukkarasi ◽  
R. Kumar
Keyword(s):  
Wireless Sensor Networks ◽  
Kalman Filter ◽  
Sensor Networks ◽  
Target Tracking ◽  
Real Time ◽  
Location Estimation ◽  
Outdoor Environment ◽  
Wireless Sensor ◽  
Estimation Methods ◽  
Anchor Nodes

Target tracking is essential for localization and many other applications in Wireless Sensor Networks (WSNs). Kalman filter is used to reduce measurement noise in target tracking. In this research TelosB motes are used to measure Received Signal Strength Indication (RSSI). RSSI measurement doesn’t require any external hardware compare to other distance estimation methods such as Time of Arrival (TOA), Time Difference of Arrival (TDoA) and Angle of Arrival (AoA). Distances between beacon and non-anchor nodes are estimated using the measured RSSI values. Position of the non-anchor node is estimated after finding the distance between beacon and non-anchor nodes. A new algorithm is proposed with Kalman filter for location estimation and target tracking in order to improve localization accuracy called as MoteTrack InOut system. This system is implemented in real time for indoor and outdoor tracking. Localization error reduction obtained in an outdoor environment is 75%.

Real-Time Routing Based on On-Demand Multi-Hop Lookahead in Wireless Sensor Networks

2011 ◽  
Vol E94-B (2) ◽  
pp. 569-572
Author(s):  
Soochang PARK ◽  
Euisin LEE ◽  
Juhyun JUNG ◽  
Sang-Ha KIM
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Wireless Sensor ◽  
On Demand
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