Title
Distributed Kalman Filter with Consensus Strategies for Internet of Things Network
Abstract
In Internet of Things (IoT), link failure is unavoidable and it generally brings undesirable effects on the communication and performance of the IoT. Is it possible to cope with the problem arising from the node failure in the IoT networks, while retaining the corresponding network communication performance? In this paper, a distributed Kalman filter with consensus strategy update approach was proposed to investigate the IoT of general multi-agent networks with links failure. The objective of the proposed approach is to compensate for the undesirable effects of the failure links. Numerical simulations are provided to demonstrate the effectiveness of the approach results obtained.
Year
DOI
Venue
2018
10.1109/MASS.2018.00074
2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)
Keywords
Field
DocType
Kalman filter, Consensus, Multi-agent
Computer science,Network communication,Internet of Things,Computer network,Kalman filter,Distributed computing
Conference
ISSN
ISBN
Citations 
2155-6806
978-1-5386-5581-8
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Yee Ming Chen1648.33
Chu-Kai Wang200.68
Yu-Meng Chen300.34