In this paper, we consider the problem of locating nodes of a Wireless Sensor Network (WSN), assuming that they communicate through Ultra Wide Band (UWB) signaling. In particular, we assume to know the exact position of a few nodes, denoted as “beacons,” and we investigate how to get the positions of other nodes in the network by means of range measurements obtained via signals exchanges between nodes. We focus on solving this problem through a swarm intelligencebased approach. In particular, we compare “classical” Particle Swarming Optimization (PSO) with a modified version of this algorithm, characterized by a faster convergence. We show that, for the considered problem, the latter gives the same performance of the first one with a smaller number of iterations.

Hybrid Swarm Intelligent Node Localization in Wireless Sensor Networks / S. Monica; G. Ferrari. - (2013). ((Intervento presentato al convegno XVI Portuguese Conference on Artificial Intelligence (EPIA 2013) tenutosi a Angra do Heroìsmo, Isole Azzorre, Portogallo nel Settembre.

Hybrid Swarm Intelligent Node Localization in Wireless Sensor Networks

MONICA, Stefania;FERRARI, Gianluigi
2013

Abstract

In this paper, we consider the problem of locating nodes of a Wireless Sensor Network (WSN), assuming that they communicate through Ultra Wide Band (UWB) signaling. In particular, we assume to know the exact position of a few nodes, denoted as “beacons,” and we investigate how to get the positions of other nodes in the network by means of range measurements obtained via signals exchanges between nodes. We focus on solving this problem through a swarm intelligencebased approach. In particular, we compare “classical” Particle Swarming Optimization (PSO) with a modified version of this algorithm, characterized by a faster convergence. We show that, for the considered problem, the latter gives the same performance of the first one with a smaller number of iterations.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2615845
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