In this paper, we focus on auto-localization of nodes in a static wireless network, under the assumption of known position of a few initial nodes, denoted as “beacons”. Assuming that Ultra Wide Band (UWB) signals are used for inter-node communications, we analyze the impact of the number of beacons on the location accuracy. Three different approaches to localization are considered, namely: the Two-Stage Maximum-Likelihood (TSML) method ; the Plane Intersection (PI) method, and Particle Swarming Optimization (PSO). Simulation results show that PSO allows to obtain accurate postion estimates with a small number of beacons, making it an attractive choice to implement effective localization algorithm.

Impact of the Number of Beacons in PSO-based Auto-localization in UWB Networks / S. Monica; G. Ferrari. - 7835(2013), pp. 42-51. [10.1007/978-3-642-37192-9_5]

Impact of the Number of Beacons in PSO-based Auto-localization in UWB Networks

MONICA, Stefania;FERRARI, Gianluigi
2013

Abstract

In this paper, we focus on auto-localization of nodes in a static wireless network, under the assumption of known position of a few initial nodes, denoted as “beacons”. Assuming that Ultra Wide Band (UWB) signals are used for inter-node communications, we analyze the impact of the number of beacons on the location accuracy. Three different approaches to localization are considered, namely: the Two-Stage Maximum-Likelihood (TSML) method ; the Plane Intersection (PI) method, and Particle Swarming Optimization (PSO). Simulation results show that PSO allows to obtain accurate postion estimates with a small number of beacons, making it an attractive choice to implement effective localization algorithm.
9783642371912
Impact of the Number of Beacons in PSO-based Auto-localization in UWB Networks / S. Monica; G. Ferrari. - 7835(2013), pp. 42-51. [10.1007/978-3-642-37192-9_5]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2615654
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