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.