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Cooperative localization in mobile networks using nonparametric variants of belief propagation
Technical University of Madrid, Spain. (Signal Processing Applications Group)
Technical University of Madrid, Spain. (Signal Processing Applications Group)
2013 (English)In: Ad hoc networks, ISSN 1570-8705, Vol. 11, no 1, 138-150 p.Article in journal (Refereed) Published
Abstract [en]

Of the many state-of-the-art methods for cooperative localization in wireless sensor networks (WSNs), only very few adapt well to mobile networks. The main problems of the well-known algorithms, based on nonparametric belief propagation (NBP), are the high communication cost and inefficient sampling techniques. Moreover, they either do not use smoothing or just apply it offline. Therefore, in this article, we propose more flexible and efficient variants of NBP for cooperative localization in mobile networks. In particular, we provide: (i) an optional 1-lag smoothing done almost in real-time, (ii) a novel low-cost communication protocol based on package approximation and censoring, (iii) higher robustness of the standard mixture importance sampling (MIS) technique, and (iv) a higher amount of information in the importance densities by using the population Monte Carlo (PMC) approach, or an auxiliary variable. Through extensive simulations, we confirmed that all the proposed techniques outperform the standard NBP method.

Place, publisher, year, edition, pages
2013. Vol. 11, no 1, 138-150 p.
Keyword [en]
Cooperative localization, Mobile networks, Belief propagation, Particle filter, Smoothing, Message approximation, censoring, Population Monte Carlo, auxiliary particle filter
National Category
Signal Processing Communication Systems
URN: urn:nbn:se:liu:diva-81442DOI: 10.1016/j.adhoc.2012.04.012ISI: 000313144600010OAI: diva2:552503
Available from: 2013-04-03 Created: 2012-09-14 Last updated: 2013-04-03Bibliographically approved

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