Distributed Filtering with Consensus Updating for Internet of Things Network

Abstract:

Consensus approach for networked dynamic systems is an important research problem for distributed estimation in Internet of Things (IoT). In this paper, the distributed Kalman filter with consensus update approach was proposed to investigate the IoT of general multi-agent systems with links failure. The objective of the proposed approach is effectively to compensate for the undesirable effects of the failure links. Numerical simulations are provided to demonstrate the effectiveness of the approach results obtained.

Keywords:

Kalman Filter, Consensus, Estimation

Citation as:

Yee Ming Chen, Chu-Kai Wang, Chi-Li Tsai (2018). "Distributed Filtering with Consensus Updating for Internet of Things Network", Computer Communication & Collaboration, Vol. 6, Issue 4, pp. 10-19.