| 1. |
- Ferrara, N.G., et al.
(författare)
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A comparison of Bayesian localization methods in the presence of outliers
- 2017
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Ingår i: 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. ; , s. 1546-1551
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Konferensbidrag (refereegranskat)abstract
- Localization of a user in a wireless network is challenging in the presence of malfunctioning or malicious reference nodes, since if they are not accounted for, large localization errors can ensue. We evaluate three Bayesian methods to statistically identify outliers during localization: an exact method, an expectation maximization (EM) method proposed earlier, and a new method based on Variational Bayesian EM (VBEM). Simulation results indicate similar performance for the latter two schemes, with the VBEM algorithm able to provide a statistical description of the user location, rather than an estimate as in the simpler EM case. In contrast to previous studies, we find that there is a significant gap between the approximate methods and the exact method, the cause of which is discussed.
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| 2. |
- Lohan, E.S., et al.
(författare)
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Conclusions
- 2017
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Ingår i: Multi-Technology Positioning. - Cham : Springer International Publishing. - 9783319504278 ; , s. 331-332
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Navigation and localization are nowadays an intrinsic part of the majority of wireless communication devices. They are also likely to play crucial roles in the new generations of communication devices, such as Device-to-Device (D2D), Internet of Things (IoT) and 5G.
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| 3. |
- Lohan, E.S., et al.
(författare)
-
MULTI-POS: Lessons learnt from fellows and supervisors
- 2017
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Ingår i: Multi-Technology Positioning. - Cham : Springer International Publishing. - 9783319504261 ; , s. 323-329
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The path to a successful and cooperative network is not always smooth. Marie Curie networks are, by definition, networks of people with various technical and cultural backgrounds and with different personalities, individual work and life targets, and personal ways of solving the challenges that each has to cope with. The larger a network is, the more likely it is that some conflicts or personality mismatches appear, but this is not necessarily a bad thing, and it can be used as a learning and growth lesson. This chapter addresses the various challenges that were encountered during the MULTI-POS implementation and it summarizes the lessons learnt by both the fellows and the supervisors. The goal of this chapter is to offer some generic guidelines in forming and running large international networks, such as the Marie Curie training networks, and to enable the people interested in such collaborations to pro-actively identify and tackle some of the inherent challenges in such networks.
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