Effect of Community Structure of Network on Distributed Estimation
- https://doi.org/10.2991/icsmim-15.2016.126How to use a DOI?
- Diffusion LMS, community structure, distributed estimation, estimation performance.
The diffusion strategies have been widely studied for distributed estimation over adaptive networks. This paper investigates the impacts of community structure of network on the performance of the adaptive-then-combine diffusion LMS. The study covers different local community structures, while the performance is analyzed according to the transient and steady state mean-square errors. Simulations demonstrate that the performance of distributed estimation have regular changes along with the variety of number of community, which indicates that the network community indeed plays an important role in the distributed estimation.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaodan Shao AU - Feng Chen PY - 2016/01 DA - 2016/01 TI - Effect of Community Structure of Network on Distributed Estimation BT - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials PB - Atlantis Press SP - 677 EP - 680 SN - 2352-538X UR - https://doi.org/10.2991/icsmim-15.2016.126 DO - https://doi.org/10.2991/icsmim-15.2016.126 ID - Shao2016/01 ER -