Distributed Robust Filtering for Wireless Sensor Networks with Markov Switching Topologies and Deception Attacks

Abstract

This paper is concerned with the distributed full- and reduced-order l 2 - l ∞ state estimation issue for a class of discrete time-invariant systems subjected to both randomly occurring switching topologies and deception attacks over wireless sensor networks. Firstly, a switching topology model is proposed which uses homogeneous Markov chain to reflect the change of filtering networks communication modes. Then, the sector-bound deception attacks among the communication channels are taken into consideration, which could better characterize the filtering network communication security. Additionally, a random variable obeying the Bernoulli distribution is used to describe the phenomenon of the randomly occurring deception attacks. Furthermore, through an adjustable parameter E, we can obtain full- and reduced-order l 2 - l ∞ state estimator over sensor networks, respectively. Sufficient conditions are established for the solvability of the addressed switching topology-dependent distributed filtering design in terms of certain convex optimization problem. The purpose of solving the problem is to design a distributed full- and reduced-order filter such that, in the presence of deception attacks, stochastic external interference and switching topologies, the resulting filtering dynamic system is exponentially mean-square stable with prescribed l 2 - l ∞ performance index. Finally, a simulation example is provided to show the effectiveness and flexibility of the designed approach.

Research and sustainable design of wearable sensor for clothing based on body area network

“…According to the background, current situation and problems of the wearable sensor, the author analyses the solutions of wearable sensor for clothing, and puts forward several directions for sustainable design of wearable sensor in the future, which is also a hot point in the design of wearable sensor at present. In general, the sustainable design direction of wearable sensors can be summarized as three points [51, 55]:…”

Distributed trust‐based unscented Kalman filter for non‐linear state estimation under cyber‐attacks: The application of manoeuvring target tracking over wireless sensor networks

“…WSNs have a wide range of applications, among which, target tracking is one of the most practical applications. Other applications include environmental monitoring, information collection, and control of unmanned aerial vehicles [3,4]. A typical distributed WSN consists of several sensors that communicate with the rest of the network.…”

“…To deal with the effects of attacks, both transmitted measurements and estimates have been classified into normal and compromised classes. In [4], distributed ‐ state estimator has been developed in the presence of deception attacks over WSNs. Moreover, improved data fusion algorithms could tackle cyber‐attacks as proposed in [24].…”