Wireless sensor network model with uncertain delay and packet loss based on intelligent fuzzy system

Issue title: Special Section: Applied Machine Learning and Management of Volatility, Uncertainty, Complexity & Ambiguity (V.U.C.A)

Guest editors: Srikanta Patnaik

Article type: Research Article

Authors: Shi, Yuanbo^{a; b; *} | Wang, Jianhui^a | Fang, Xiaoke^a | Gu, Shusheng^a | Wang, Xiao^a

Affiliations: [a] Northeastern University, School of Information Science and Engineering, Liaoning Shenyang, China | [b] Liaoning Shihua University, School of Computer and Communication Engineering, Liaoning Fushun, China

Correspondence: [*] Corresponding author. Yuanbo Shi, E-mail: [email protected].

Abstract: The utilization of fuzzy logic in WSNs is demonstrated to be a promising procedure since it permits joining and assessing various parameters in an effective way. Fuzzy logic is a decent methodology because of the execution prerequisites can be effectively supported by sensor hubs, while it can improve the general system execution. This paper studies the robust H∞ control considering time delay and packet loss related uncertainty in wireless sensor network system based on the basic theory of intelligent fuzzy systems. The model of a wireless sensor network with questionable time lag and packet loss is given first. The stability of the system is proved by the augmented Lyapunov functional and the linear matrix inequality (LMIs) method, with its demonstrated H∞ property. In order to solve the uncertain time delay and packet loss, the memory robust H∞ controller is proposed based on LMIs. Numerical examples and simulation results examines the potency of the presented method in solving the delay and packet loss of wireless sensor networks as well as the accuracy and precision of the system.

Keywords: Time delay, intelligent fuzzy system, linear matrix inequality (LMIs), memory robust H_∞ controller

DOI: 10.3233/JIFS-179931

Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1581-1590, 2020