Reliability assessment of photovoltaic wireless sensor networks for forest fire propagation detection

Kassan, Rabih; Châtelet, Éric; Soukieh, J

doi:10.1080/02286203.2017.1393857

Cited by 6 publications

(4 citation statements)

References 50 publications

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“…In modern approaches, to effectively improve fault tolerance, a basic requirement is to perform a reliability analysis aimed at identifying crucial components and thus predicting behaviors that lead to failure. A very useful tool for this purpose has been Neural Networks [51,52], with which reliability and availability indexes are increased, and the economic impact is reduced through the prevention of failure events [53]. The use of a Neural Network is proposed for the prediction of parameters in a machining process to avoid vibrations in the process, thus obtaining a reliable prediction model of the studied parameters [51]; as well as for the evaluation of the reliability of wireless sensor networks that allow monitoring, supervising, controlling and managing a wide range of conditions [52].…”

Section: Consultation and Analysis Of The Literaturementioning

confidence: 99%

Optimization tools applied to physical asset maintenance management: state of the art

Pentón

Morales

Llanes

et al. 2021

DYNA

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This article presents the state of the art of the application of optimization tools such as Genetic Algorithms, Simulation, Neural Networks, Markov Chains and Bayesian Networks in the physical asset maintenance management. The bibliographic references used were extracted from a detailed search that allowed the selection of the empirical studies presented, in the time horizon from 2010 to 2021, through databases, research platforms and online libraries. The analysis of the identified case studies is carried out, taking into account the variables involved in the study, the optimization tool used, and the result obtained in the analysis of the physical asset maintenance management. The benefits of the application of optimization tools are identified and it is confirmed that maintenance costs and intervention times are present variables, which contribute to the improvement of reliability and maintenance management.

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Section: Consultation and Analysis Of The Literaturementioning

confidence: 99%

Optimization tools applied to physical asset maintenance management: state of the art

Pentón

Morales

Llanes

et al. 2021

DYNA

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“…They communicate with each other in a multihop and self-organization manner through wireless radio. In the current development situation, WSNs have found wide research applications in intelligent life [1][2][3][4], industrial and agricultural production [5][6][7][8], disaster prevention and control [9][10][11], military applications [12], etc. In many applications, WSNs play an irreplaceable role.…”

Section: Background and Motivationmentioning

confidence: 99%

Multiparameter Fusion Decision Routing Algorithm for Energy-Constrained Wireless Sensor Networks

Yan

Cai

et al. 2020

Applied Sciences

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For energy-limited wireless sensor networks (WSNs), we propose a multiparameter fusion decision routing (MPFDR) algorithm in this study. This algorithm gives a comprehensive account of the residual energy and forward distance, single-hop transmission ratio, cache queue, and energy equilibrium degree. It calculates the routing evaluation parameters of the forward neighbors, realizing a multidirectional reflection of the network status. Simultaneously, combined with the defined routing selection strategy based on the parameter contribution degree and fuzzy contribution degree, the fusion contribution degree of each forward neighbor is obtained. Then, the node with the most considerable fusion contribution degree is selected as the next hop. Finally, the performance of the MPFDR algorithm is simulated and compared with other algorithms. Simulation results indicate that our algorithm has good congestion control ability in energy-limited wireless sensor networks and can significantly reduce the packet loss rate and average hops.

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“…The past few decades have seen increasingly rapid advances in sensor networks (SNs) due to its wide application in agriculture, energy resource field, and disaster prevention. [1][2][3][4][5] Meanwhile, several attempts have been made to provide the filtering, control and fault detection methods based on SNs. [6][7][8][9] Among the existing results, the filtering problem is an important aspect, and several practical algorithms including centralized algorithms 10 and distributed algorithms 11,12 have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An event‐triggered method to distributed filtering for nonlinear multi‐rate systems with random transmission delays

Li,

Hu,

Chen

et al. 2024

Adaptive Control & Signal

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SummaryIn this article, an event‐triggered recursive filtering problem is studied for a class of nonlinear multi‐rate systems (MRSs) with random transmission delays (RTDs). The RTDs are described by utilizing random variables with a known probability distribution and the Kronecker function. To facilitate further study, the MRS is converted into a single‐rate one by adopting an iteration equation approach. To address the challenge of filter design caused by different measurement sampling periods, a modified prediction method of measurements is given. Moreover, an event‐triggered mechanism (ETM) is introduced to regulate the innovation transmission frequency. The objective of the addressed filtering problem is to design a recursive distributed filtering method for MRSs subject to ETM and RTDs, where a minimum upper bound on the filter error covariance is obtained. Moreover, the filter gain matrix is formulated by resorting to the solutions to matrix difference equations. Besides, the boundedness in the mean‐square sense of the filtering error is analyzed and a sufficient condition is provided. Finally, simulations with comparison experiments are presented to demonstrate the effectiveness of the newly proposed theoretical results.

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Reliability assessment of photovoltaic wireless sensor networks for forest fire propagation detection

Cited by 6 publications

References 50 publications

Optimization tools applied to physical asset maintenance management: state of the art

Optimization tools applied to physical asset maintenance management: state of the art

Multiparameter Fusion Decision Routing Algorithm for Energy-Constrained Wireless Sensor Networks

An event‐triggered method to distributed filtering for nonlinear multi‐rate systems with random transmission delays

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