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This paper is concerned with the distributed estimation problem in sensor networks subjected to unknown attacks. Network attacks are considered to exist in two classes of channels: 1) communication channels from the plant to sensors and 2) communication channels among sensors. The status of an attack is viewed as a stochastic phenomenon, and the transmitted information will be affected when the attacker successfully carries out an attack on the related data packet. Based on the sensors' own measurements and their neighbors' local information, a novel distributed estimation model against two-channel stochastic attacks is presented. A sufficient condition on the existence of the desired distributed H∞ estimators is derived and the distributed estimator gains are designed by solving a linear matrix inequality. Two illustrative examples are provided to demonstrate the effectiveness of the new design techniques.
This article was published in the following journal.
Name: IEEE transactions on cybernetics
The traditional consensus-based filters are widely used in distributed sensor networks. However, they suffer from divergence when outliers occur. This paper proposes a robust consensus nonlinear infor...
This paper is concerned with the state estimation problem for a class of Markovian jumping neural networks (MJNNs) with sensor nonlinearities, mode-dependent time delays and stochastic disturbances su...
This paper deals with the finite-horizon quantized H∞ state estimation problem for a class of discrete time-varying genetic regulatory networks with quantization effects under stochastic communicati...
Many biological activities are induced by cellular chemical reactions of diffusing reactants. The dynamics of such systems can be captured by stochastic reaction networks. A recent numerical study has...
In this paper, the distributed set-membership filtering problem is dealt with for a class of time-varying multirate systems in sensor networks with the communication protocol. For relieving the commun...
This study evaluates the effectiveness of stochastic resonance electric stimulation on neuromuscular control and proprioception in healthy and individuals with stroke.
The purpose of this study is to assess the performance of the subcutaneous glucose sensor over an extended sensor life. The sensor is currently approved for 3 days of use and this study wi...
The purpose of this study is to assess performance of a new subcutaneous glucose sensor over a seven day sensor life when used with currently marketed Medtronic Diabetes devices. In additi...
The purpose of this study is to examine the efficacy of a specially-constructed crib mattress that delivers gentle vibrations (stochastic vibrotactile stimulation) as a complementary, non-...
To evaluate the acceptability and efficacy of Multiple Channel Exposure Therapy-Veterans (MCET-V) as a treatment for returning service members with comorbid PTSD and panic disorder. MCET-V...
A family of neuronal calcium-sensor proteins that interact with and regulate potassium channels, type A.
Arthritis, especially of the great toe, as a result of gout. Acute gouty arthritis often is precipitated by trauma, infection, surgery, etc. The initial attacks are usually monoarticular but later attacks are often polyarticular.
A voltage-gated sodium channel subtype that mediates the sodium ion PERMEABILITY of CARDIOMYOCYTES. Defects in the SCN5A gene, which codes for the alpha subunit of this sodium channel, are associated with a variety of CARDIAC DISEASES that result from loss of sodium channel function.
Voltage-gated sodium channel subunits that play a role in the assembly, expression, and functional modulation of the sodium channel. They form a heterotrimeric complex with the pore-forming sodium channel alpha subunits.
A very slow opening and closing voltage-gated potassium channel that is expressed in NEURONS and is closely related to KCNQ2 POTASSIUM CHANNEL. It is commonly mutated in BENIGN FAMILIAL NEONATAL CONVULSIONS.