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, S.; Ferrari, G.. - (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
S. Monica;
2013
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.
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