Impact of the number of beacons in PSO-Based auto-localization in UWB networks

Authors:
Stefania Monica;Gianluigi Ferrari
Affiliations:
Wireless Ad-hoc and Sensor Networks Laboratory Department of Information Engineering, University of Parma, Parma, Italy;Wireless Ad-hoc and Sensor Networks Laboratory Department of Information Engineering, University of Parma, Parma, Italy
Venue:
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Year:
2013

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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.