Algorithms for Mobile Nodes Self-Localisation in Wireless Ad Hoc Networks

Author

Mihaylova, L. ; Angelova, D. ; Canagarajah, C.N. ; Bull, D.R.

Author_Institution

Dept. of Commun. Syst., Lancaster Univ.

fYear

2006

fDate

10-13 July 2006

Firstpage

1

Lastpage

7

Abstract

This paper addresses the problem of position localisation of mobile nodes in ad hoc wireless networks based on received signal strength indicator measurements. Node mobility is modelled as a linear system driven by a discrete command Markov process. Self-localisation of mobile nodes is performed via an interacting multiple model filter consisting of a bank of unscented Kalman filters (IMM-UKF). Estimation of the mobility state, which comprises the position, speed and acceleration of the mobile nodes is accomplished. The performance of the IMM- UKF filter is investigated and compared to a multiple model particle filter (MM PF) by Monte Carlo simulation

Keywords

Kalman filters; Markov processes; Monte Carlo methods; ad hoc networks; linear systems; mobile radio; state estimation; IMM-UKF; Monte Carlo simulation; discrete command Markov process; interacting multiple model filter; linear system; mobile node self-localisation; mobility state estimation; signal strength indicator measurement; unscented Kalman filter bank; wireless ad hoc network; Acceleration; Ad hoc networks; Global Positioning System; Land mobile radio cellular systems; Linear systems; Markov processes; Mobile ad hoc networks; Mobile communication; Particle filters; Wireless networks; Monte Carlo methods; Unscented Kalman filter; localisation; multiple model estimation; wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2006 9th International Conference on

Conference_Location

Florence

Print_ISBN

1-4244-0953-5

Electronic_ISBN

0-9721844-6-5

Type

conf

DOI

10.1109/ICIF.2006.301571

Filename

4085857