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 / 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 |
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