In this paper, we focus on the auto-localization of static sensor nodes in a Wireless Sensor Network (WSN), assuming to know the position of a few of them, which will be denoted as “beacons”. Assuming that Ultra Wide Band (UWB) signals are used for inter-node communications, we compare the accuracy of the position estimates obtained by using three different algorithms, namely: the Two-Stage Maximum-Likelihood (TSML) method, the Plane Intersection (PI) method, and the Particle Swarming Optimization (PSO) algorithm. Simulation results show that a small number of beacons is sufficient to achieve an accurate position estimate when using the PSO algorithm, making it an attractive choice to implement effective localization systems.
Auto-localization of static nodes in UWB wireless sensor networks / Monica, Stefania; Ferrari, Gianluigi. - (2013). (Intervento presentato al convegno Riunione annuale 2013 del Gruppo nazionale Telecomunicazioni e Teoria dell'Informazione (GTTI 2013) tenutosi a Ancona, Italia nel giugno).
Auto-localization of static nodes in UWB wireless sensor networks
MONICA, Stefania;FERRARI, Gianluigi
2013-01-01
Abstract
In this paper, we focus on the auto-localization of static sensor nodes in a Wireless Sensor Network (WSN), assuming to know the position of a few of them, which will be denoted as “beacons”. Assuming that Ultra Wide Band (UWB) signals are used for inter-node communications, we compare the accuracy of the position estimates obtained by using three different algorithms, namely: the Two-Stage Maximum-Likelihood (TSML) method, the Plane Intersection (PI) method, and the Particle Swarming Optimization (PSO) algorithm. Simulation results show that a small number of beacons is sufficient to achieve an accurate position estimate when using the PSO algorithm, making it an attractive choice to implement effective localization systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
