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Model Identification and Control of Evapotranspiration for Irrigation Water Optimization

Computers, Materials & Continua 2022年第1期70卷 1749-1767页

作者： Wafa Difallah Fateh Bounaama Belkacem Draoui khelifa benahmed Abdelkader Laaboudi Department of Exact Sciences Normal Higher School of Bechar08000Algeria Laboratory of Energetic in Arid Zones Faculty of TechnologyTahri Mohammed University of Bechar08000Algeria Department of Mathematics and Computer Science Faculty of Exact SciencesTahri Mohammed University of Bechar08000Algeria Algerian Institute for Research in Agronomy Experimental Station of Adrar01000Algeria

Water conservation starts from rationalizing irrigation,as it is the largest consumer of this vital source.Following the critical and urgent nature of this issue,several works have been proposed.The idea of most researchers is to develop irrigation management systems tomeet the water needs of plants with optimal use of this resource.In fact,irrigation water requirement is only the amount of water that must be applied to compensate the evapotranspiration loss.Penman-Monteith equation is the most common formula to evaluate reference evapotranspiration,but it requiresmany factors that cannot be available in many cases.This leads to a trend towards behavior model estimation.System identification with control is one of the most promising applications in this axis.The idea behind this proposal depends on three stages:First,the estimation of reference evapotranspiration(ET0)by a linear ARX model,where temperature,relative humidity,insolation duration and wind speed are used as inputs,and ET0 estimated by Penman-Monteith equation as output.The results show that the values estimated by thismethodwere in good agreement with the measured data.The second part of this paper is tomanage the quantity of water.For this purpose,two controllers are used for testing,lead-lag and PID.To adjust the first controller and optimize the choice of its parameters,Nelder-Mead algorithm is used.In the last part,a comparative study is done between the two used controllers.

关键词： Evapotranspiration water identification optimization irrigation control

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An Energy-Efficient Protocol Using an Objective Function & Random Search with Jumps forWSN

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Computers, Materials & Continua 2019年第3期58卷 603-624页

作者： Mohammed Kaddi khelifa benahmed Mohammed Omari Faculty of Technology University Tahri MohammedBechar08000Algeria Faculty of Exact Sciences University Tahri MohammedBechar08000Algeria LDDI Laboratory Math and CS DepartmentUniversity of AdrarAdrar01000Algeria.

Wireless Sensor Networks(WSNs)have hardware and software limitations and are deployed in hostile environments.The problem of energy consumption in WSNs has become a very important axis of research.To obtain good performance in terms of the network lifetime,several routing protocols have been proposed in the literature.Hierarchical routing is considered to be the most favorable approach in terms of energy efficiency.It is based on the concept parent-child hierarchy where the child nodes forward their messages to their parent,and then the parent node forwards them,directly or via other parent nodes,to the base station(sink).In this paper,we present a new Energy-Efficient clustering protocol for WSNs using an Objective Function and Random Search with Jumps(EEOFRSJ)in order to reduce sensor energy consumption.First,the objective function is used to find an optimal cluster formation taking into account the ratio of the mean Euclidean distance of the nodes to their associated cluster heads(CH)and their residual energy.Then,we find the best path to transmit data from the CHs nodes to the base station(BS)using a random search with jumps.We simulated our proposed approach compared with the Energy-Efficient in WSNs using Fuzzy C-Means clustering(EEFCM)protocol using Matlab Simulink.Simulation results have shown that our proposed protocol excels regarding energy consumption,resulting in network lifetime extension.

关键词： WSNs clustering energy consumption lifetime extension random search with jumps EEOFRSJ EEFCM.

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A Cryptographic-Based Approach for Electricity Theft Detection in Smart Grid

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Computers, Materials & Continua 2020年第4期63卷 97-117页

作者： Khelifi Naim benahmed khelifa Bounaama Fateh Laboratory of Energetic in Arid Zones(ENERGARID) Department of Electrical EngineeringFaculty of TechnologyTahri Mohammed University of BecharBechar08000Algeria Department of Mathematics and Computer Science Faculty of Exact SciencesTahri Mohammed University of BecharBechar08000Algeria

In order to strengthen their security issues,electrical companies devote particular efforts to developing and enhancing their fraud detection techniques that cope with the information and communication technologies integration in smart grid fields.Having been treated earlier by several researchers,various detection schemes adapted from attack models that benefit from the smart grid topologies weaknesses,aiming primarily to the identification of suspicious incoming hazards.Wireless meshes have been extensively used in smart grid communication architectures due to their facility,lightness of conception and low cost installation;however,the communicated packets are still exposed to be intercepted maliciously in order either to falsify pertinent information like the smart meter readings,or to inject false data instead,aiming at electricity theft during the communication phase.For this reason,this paper initiates a novel method based on RSA cryptographic algorithm to detect electricity fraud in smart grid.This new method consists of generating two different cryptograms of one electricity measurement before sending,after which the recipient is used to find the same value after decrypting the two cyphers in a normal case.Otherwise,a fraudulent manipulation could occur during the transmission stage.The presented method allows us to kill two birds with one stone.First,satisfactory outcomes are shown:the algorithm accuracy reaches 100%,from one hand,and the privacy is protected thanks to the cryptology concept on the other hand.

关键词： Electricity consumption fraud detection RSA algorithm security smart grid

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