EnglishIn 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 / Monica, S.; Ferrari, G.. - 7835(2013), pp. 42-51. [10.1007/978-3-642-37192-9_5]
| Data di pubblicazione: | 2013 | |
| Titolo: | Impact of the Number of Beacons in PSO-based Auto-localization in UWB Networks | |
| Autore/i: | Monica, S.; Ferrari, G. | |
| Autore/i UNIMORE: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-642-37192-9_5 | |
| Codice identificativo Scopus: | 2-s2.0-84875673437 | |
| Titolo del libro: | Applications of Evolutionary Computation, Lecture Notes in Computer Science Vol. 7835 | |
| A cura di: | A. I. Esparcia-Alcàzar | |
| ISBN: | 9783642371912 | |
| Editore: | Springer | |
| Nazione editore: | GERMANIA | |
| Citazione: | Impact of the Number of Beacons in PSO-based Auto-localization in UWB Networks / Monica, S.; Ferrari, G.. - 7835(2013), pp. 42-51. [10.1007/978-3-642-37192-9_5] | |
| Tipologia | Capitolo/Saggio |
File in questo prodotto:
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
Copyright © 2022