TY - GEN
T1 - Distributed gaussian process regression for mobile sensor networks under localization uncertainty
AU - Choi, Sungjoon
AU - Jadaliha, Mahdi
AU - Choi, Jongeun
AU - Oh, Songhwai
PY - 2013
Y1 - 2013
N2 - In this paper, we propose distributed Gaussian process regression for resource-constrained mobile sensor networks under localization uncertainty. The proposed distributed algorithm, which combines Jacobi over-relaxation (JOR) and discrete-time average consensus (DAC), can effectively handle localization uncertainty as well as limited communication ranges and computation capabilities of mobile sensor networks. The performance of the proposed method is verified in numerical simulations against the centralized maximum a posteriori solution and the quick-and-dirty solution. We show that the proposed method outperforms the quick-and-dirty solution and achieves an accuracy comparable to the centralized solution.
AB - In this paper, we propose distributed Gaussian process regression for resource-constrained mobile sensor networks under localization uncertainty. The proposed distributed algorithm, which combines Jacobi over-relaxation (JOR) and discrete-time average consensus (DAC), can effectively handle localization uncertainty as well as limited communication ranges and computation capabilities of mobile sensor networks. The performance of the proposed method is verified in numerical simulations against the centralized maximum a posteriori solution and the quick-and-dirty solution. We show that the proposed method outperforms the quick-and-dirty solution and achieves an accuracy comparable to the centralized solution.
UR - http://www.scopus.com/inward/record.url?scp=84902318747&partnerID=8YFLogxK
U2 - 10.1109/CDC.2013.6760636
DO - 10.1109/CDC.2013.6760636
M3 - Conference contribution
AN - SCOPUS:84902318747
SN - 9781467357173
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4766
EP - 4771
BT - 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 52nd IEEE Conference on Decision and Control, CDC 2013
Y2 - 10 December 2013 through 13 December 2013
ER -