Neuro-fuzzy control of data sending in a mobile ad hoc network

Polshchykov, Kostiantyn; Lazarev, S. A.; Zdorovtsov, A.D.

doi:10.4314/jfas.v9i2s.856

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Therefore, the following models have been developed: A model of the functioning of wireless channels during transmitting of data streams, which makes it possible to estimate the average channel load [13]. A Model for buffering requests for the transmission of data streams, which makes it possible to estimate the waiting time for the start of transmission of data streams over FANET channels [10][11][12][13][14].…”

Section: Methodsmentioning

confidence: 99%

Justification for the decision on loading channels of the network of geoecological monitoring of resources of the agroindustrial complex

Polshchykov¹,

Shabeeb²,

Lazarev³

et al. 2021

PEN

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The article is devoted to solving an urgent scientific and technical problem. It consists of developing an algorithm. This is used for estimating the recommended buffer size of requests of transmitting data streams. So, this has been done in a flying self-organizing network. Therefore, it is used to ensure geoecological monitoring of the resources of the agro-industrial complex. However, Studies have shown that to ensure the required quality of data streams transmission. Thus, it is advisable to carry out preliminary reservation of channel performance. Hence, it is possible to increase the likelihood of servicing requests of the transmission of data streams, as well as to increase the load of network channels by buffering incoming requests of the transmission of data streams. So, the developed algorithm makes it possible to substantiate the decisionmaking to increase the channel load and ensure an acceptable delay in the start of data streams transmission. Therefore, it has been done in a flying self-organizing network. Hence, the studies carried out the correctness of the algorithm and the expediency of its application. However, in practice the process of tuning the channels of a flying self-organizing network has been carried.

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Section: Methodsmentioning

confidence: 99%

Justification for the decision on loading channels of the network of geoecological monitoring of resources of the agroindustrial complex

Polshchykov¹,

Shabeeb²,

Lazarev³

et al. 2021

PEN

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“…It is possible to find the resulting evaluation of a software text analyzer effectiveness by calculating a certain integral index with the help of a fuzzy inference [6][7][8][9][10][11].…”

Section: Indicators Of a Text Analyzer Effectivenessmentioning

confidence: 99%

The Algorithm for Decision-Making Supporting on the Selection of Processing Means for Big Arrays of Natural Language Data

Polshchykov

Lazarev

Polshchykova

et al. 2019

Lobachevskii J Math

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In this paper decision support algorithm for choosing the processing means of natural language big data arrays is proposed. In the process the algorithm uses the program for evaluating the effectiveness of text analyzers. This program is based on the operation of a fuzzy choice system, which serves to calculate the integral indicator of the text analyzer effectiveness. The quality and efficiency of getting answers to test questions are taken into account when evaluating the effectiveness of text analyzers.

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“…T-S fuzzy model and control are firstly proposed by Zedeh [15], it is well promising in approximate any nonlinear systems by using the combination of membership function and sublinear models, so it is able to reduce the online computation load using T-S fuzzy model. Over the past 20 years, fuzzy control has used in many fields such as processing industry [16], robotics [17] and network system [18].…”

Section: Introductionmentioning

confidence: 99%

Robust Fuzzy MPC for Station-keeping of A Multi-vectored Propeller Airship Based on Path Following Method

Wen

Chen

Duan

et al. 2018

2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)

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In this paper, a station-keeping controller is designed for a multi-vectored (four thrusts) propeller airship by using path following approach. Firstly, the nonlinear models of the airship are introduced, including kinematics and dynamics, and the T-S fuzzy model is derived using linearization. Then, the station-keeping controller is designed, which consists of two modules: a guidance loop and a robust model predictive control(MPC). The guidance loop uses the guidance-based path following(GBPF) principle to calculate the desired yaw rate and velocities of the airship, while the robust MPC calculates a feedback control law to track the desired yaw rate and velocities by solving linear matrix inequalities (LMIs). Simulation results for the multi-vectored propeller airship are carried out to illustrate the effectiveness of the proposed method.

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Neuro-fuzzy control of data sending in a mobile ad hoc network

Cited by 5 publications

References 7 publications

Justification for the decision on loading channels of the network of geoecological monitoring of resources of the agroindustrial complex

Justification for the decision on loading channels of the network of geoecological monitoring of resources of the agroindustrial complex

The Algorithm for Decision-Making Supporting on the Selection of Processing Means for Big Arrays of Natural Language Data

Robust Fuzzy MPC for Station-keeping of A Multi-vectored Propeller Airship Based on Path Following Method

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