Abstract
The monitoring of the Internet of things networks depends to a great extent on the availability and correct functioning of all the network nodes that collect data. This network nodes all of which must correctly satisfy their purpose to ensure the efficiency and high quality of monitoring and control of the internet of things networks. This paper focuses on the problem of fault-tolerant maintenance of a networked environment in the domain of the internet of things. Based on continuous-time Markov chains, together with a cooperative control algorithm, a novel feedback model-based predictive hybrid control algorithm is proposed to improve the maintenance and reliability of the internet of things network. Virtual sensors are substituted for the sensors that the algorithm predicts will not function properly in future time intervals; this allows for maintaining reliable monitoring and control of the internet of things network. In this way, the internet of things network improves its robustness since our fault tolerant control algorithm finds the malfunction nodes that are collecting incorrect data and self-correct this issue replacing malfunctioning sensors with new ones. In addition, the proposed model is capable of optimising sensor positioning. As a result, data collection from the environment can be kept stable. The developed continuous-time control model is applied to guarantee reliable monitoring and control of temperature in a smart supermarket. Finally, the efficiency of the presented approach is verified with the results obtained in the conducted case study.
Highlights
The advances in communications techniques, network topologies and control methods, have contributed to the development of Networked Control Systems (NCSs), expanding their possibilities
The control algorithm gets data collected by the Internet of Things (IoT) nodes and auto-corrects the faulty data
In case the controller predicts that an IoT node will be in fault state, it will create a virtual temperature sensor in order to keep the reliability of the IoT network
Summary
The advances in communications techniques, network topologies and control methods, have contributed to the development of Networked Control Systems (NCSs), expanding their possibilities. In the last several decades, NCSs have received considerable attention form the scientific community, mainly due to their wide-ranging application possibilities [1]. Once an Internet of Things (IoT) network is formed by multiple IoT nodes, controller or actuator nodes, it is feasible for them to capture data from a large range of existing structures. This work introduces a new predictive temperature control algorithm for fault tolerant detection of a large number of IoT nodes, providing an efficient temperature control. The implementation of a system to control and monitor the precision states of the IoT nodes will ensure reliability of the data captured by the IoT network. The discrete time control focuses on system efficiency at a discrete time
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