Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - A comparison of MDS-MAP and non-linear regression
AU - Ellis, C.
AU - Hazas, M.
PY - 2010/9/1
Y1 - 2010/9/1
N2 - For locating a set of stationary devices, algorithms such as MDS-MAP have been favoured by the sensor network community. This is generally because of their low computational complexity. Whilst comparisons for complexity and performance have been done for other algorithms, non-linear regression (NLR) has been neglected. The authors find that it is not much more expensive than MDS-MAP, yet can yield significantly better accuracy for sensor network localisation.
AB - For locating a set of stationary devices, algorithms such as MDS-MAP have been favoured by the sensor network community. This is generally because of their low computational complexity. Whilst comparisons for complexity and performance have been done for other algorithms, non-linear regression (NLR) has been neglected. The authors find that it is not much more expensive than MDS-MAP, yet can yield significantly better accuracy for sensor network localisation.
U2 - 10.1109/IPIN.2010.5647200
DO - 10.1109/IPIN.2010.5647200
M3 - Conference contribution/Paper
SN - 978-1-4244-5862-2
SP - 1
EP - 6
BT - Indoor Positioning and Indoor Navigation (IPIN), 2010 International Conference on
PB - IEEE Publishing
ER -