Title :
A Gaussian Model for Dead-Reckoning Mobile Sensor Position Error
Author :
Arafa, Ahmed ; Messier, Geoffrey G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
Abstract :
The use of mobile nodes within a wireless sensor network are an asset since they can considerably extend the lifetime of that network. In order for mobile sensor nodes to be effective in most cases, their position must be known. Dead reckoning (DR) is a simple location method that is well suited to complexity constrained sensor nodes. The contribution of this paper is to present a Gaussian model for DR positioning error that is based on measurements collected using a popular robot chassis. The model is verified using Monte Carlo simulations that incorporate the empirical DR error.
Keywords :
Monte Carlo methods; mobile radio; wireless sensor networks; DR positioning error; Gaussian Model; Monte Carlo simulation; dead reckoning; mobile sensor nodes; wireless sensor network; Analytical models; Mobile communication; Mobile robots; Robot kinematics; Robot sensing systems; Wireless sensor networks;
Conference_Titel :
Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-3573-9
Electronic_ISBN :
1090-3038
DOI :
10.1109/VETECF.2010.5594098
