Monte Carlo Localization for path-based mobility in mobile wireless sensor networks

2016 ◽  
Author(s):  
Salke Hartung ◽  
Ansgar Kellner ◽  
Konrad Rieck ◽  
Dieter Hogrefe
Keyword(s):  
Wireless Sensor Networks ◽  
Monte Carlo ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Mobile Wireless ◽  
Mobile Wireless Sensor Networks ◽  
Monte Carlo Localization ◽  
Mobile Wireless Sensor

A Novel Stochastic Localization Algorithm for Sensor Nodes in Wireless Sensor Networks

2010 ◽  
Vol 39 ◽  
pp. 510-516
Author(s):  
Ming Wang ◽  
Shou Jun Bai ◽  
Huan Bao Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Monte Carlo ◽  
Sensor Networks ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
The Novel ◽  
Localization Algorithm ◽  
Mobile Wireless ◽  
Monte Carlo Localization ◽  
Mobile Wireless Sensor

Most of the proposed algorithms focus on static networks of sensors with either static or mobile anchors, in which the Monte Carlo localization algorithm is a typical one for localizing nodes in a mobile wireless sensor network. But the radio range being all different or inconstant in this algorithm leads to reduce the accuracy of localization and the efficiency of the algorithm itself. In this article, we propose the novel rang-based stochastic Monte Carlo localization algorithm for wireless sensor networks specifically designed with mobility to improve the accuracy of localization by dealing with the different radio ranges of sensors, and being bound to the narrow sampling area. Our simulation experimental results show that the rang-based stochastic Monte Carlo localization algorithm has improved the accuracy and stability of the estimated locations.

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