Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks

Rani, Pooja; Kavita, Kavita; Verma, Sahil; Kaur, Navneet; Woźniak, Marcin; Shafi, Jana; Ijaz, Muhammad Fazal

doi:10.3390/s22010251

Cited by 26 publications

(4 citation statements)

References 40 publications

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“…This paper does not discuss and analyze different crop types in different regions, and the data analysis is limited by the age of remote sensing data. In the future, while continuously improving and supplementing remote sensing data, we will continue to study artificial intelligence and machine learning methods [ 39 , 40 ], which can extract different crop types on the ground and monitor the response of different crop types to drought. If we can analyze the damage degree of early and late maturing crops in different drought periods and regions, and guide the research of suitable crop varieties in different regions according to the analysis results, it will be very meaningful.…”

Section: Discussionmentioning

confidence: 99%

Analysis of 22-year Drought Characteristics in Heilongjiang Province Based on Temperature Vegetation Drought Index

Zhang

Wang

et al. 2022

Computational Intelligence and Neuroscience

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Heilongjiang Province is the main grain producing region in China and an important part of Northeast China Plain, which is one of the three black soil belts in the world. The cultivated region of black soil accounts for 50.6% of the black soil region in Northeast China. Due to the obvious rise of temperature and uneven distribution of precipitation in the 20th century, it has been considered to be one of the important reasons for agricultural drought and aridity. Under the background of climate change, understanding the multiyear changes and occurrence characteristics of cultivated land drought in different agricultural regions in Heilongjiang Province is of great significance for the establishment of agricultural drought prediction and early warning system in the future, guiding agricultural high-standard farmland irrigation in different regions, promoting black soil protection, and then improving grain yield. This paper calculates the temperature vegetation drought index (TVDI) based on the normalized difference vegetation index (NDVI) and surface temperature (TS) product data of MODIS from 2000 to 2021. Taking TVDI as the drought evaluation index, this paper studies the temporal and spatial variation distribution characteristics and occurrence frequency of drought in the whole region and four agricultural regions of Heilongjiang Province: Daxing an Mountain and Xiaoxing an Mountain (region I), Sanjiang Plain (region II), Zhangguangcai Mountains (region III), and Songnen Plain (region IV). The results show that medium drought generally occurred in Heilongjiang Province from 2000 to 2021, accounting for about 70% of the total cultivated land. The drought was severe from 2000 to 2009 and weakened from 2010 to 2021. In the 110 months of the crop growing season from 2000 to 2021, about 63.84% of the region suffered more than 60 droughts. It is found that the frequency of drought varies from region to region. More than 80 droughts occurred in the west of region IV and the middle of region II. The characteristics of region IV are large sandstorm, less precipitation, and lack of water conservancy facilities, resulting in frequent and strong drought. It is also found that the occurrence frequency, degree grade and regional distribution of drought are closely related to seasonal changes. In spring, the occurrence grade and frequency of drought in region IV are the strongest and the drought phenomenon is serious. In autumn, drought is frequent and distributed in all regions, but the grade is not strong (mainly medium drought), and the drought phenomenon is medium. It is humid in summer. Crops in Heilongjiang Province are one crop per annual. Spring drought seriously restricts the water content of crops. Long-term drought will lead to poor crop development and reduce yield. Therefore, only by clarifying the characteristics of regional time drought, monitoring accurate drought events and accurately predicting the occurrence of drought, can we guide high-standard farmland precision irrigation, improve crop yield and ensure national food security. At the same time, severe drought will affect the terrestrial ecosystem, resulting in the distribution of crops and microorganisms, and the transformation between carbon sink and carbon source.

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Section: Discussionmentioning

confidence: 99%

Analysis of 22-year Drought Characteristics in Heilongjiang Province Based on Temperature Vegetation Drought Index

Zhang

Wang

et al. 2022

Computational Intelligence and Neuroscience

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“…Rani et al 18 have incorporated artificial bee colony (ABC), artificial neural network (ANN), and support vector machine (SVM) into the standard ad‐hoc on‐demand distance vector (AODV) protocol. It uses SVM along with ANN to identify attackers along the path.…”

Section: Related Workmentioning

confidence: 99%

“…Þand ϵ is computed, such that two partial derivatives are determined by setting it equal to zero as specified in Equation ( 17) and (18).…”

Section: Objective Attribute Weight Determinationmentioning

confidence: 99%

Z number improved reference ideal method‐based decision‐making process for enforcing cooperation during data dissemination in mobile ad hoc networks

Mylsamy¹,

Jayaprakash²

2023

Int J Communication

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Summary In mobile ad hoc networks (MANETs), cooperative communication and resource constraint are the two important core characteristics essential to guarantee trusted data dissemination. The cooperative communication between mobile nodes depends on the trust rendered by them towards the process of reliable data routing. However, stringent resource constraints of mobile nodes such as energy, memory, communications, and computations result in the introduction of selfish and malicious node that completely degrades the network performance in different dimensions. In this paper, Z number improved reference ideal method (RIM)‐based decision‐making process (NIRIMDMP) is proposed with the merits of maximizing deviation method (MDM) and best–worst method (BWM) to ensure reliable data routing by modeling the cooperation degree in terms of Z number. This NIRIMDMP adopted Z number to represent the information reliability and handle the problem of inherent uncertainty during the process of evaluating each mobile node in the routing process. In specific, MDM and BWM are included into the proposed NIRIMDMP to determine comprehensive attribute weights based on the calculated objective and subjective weights that could be possible derived in routing. It extended the merits of classical RIM using Z numbers to confirm reliable ranking of mobile nodes, even when the optimal solution exists amid extreme values taken into consideration for assessing the mobile nodes during decision making. Simulation investigations of the proposed NIRIMDMP confirmed improved throughput and network lifetime with reduced control overhead, energy consumptions, and delay independent of the amount of malicious and non‐cooperative nodes.

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“…Artificial intelligence techniques can also be applied in industry, for example, the surface roughness induced by grinding operations can affect the corrosion resistance, wear resistance, and contact stiffness of ground parts, which can be predicted using artificial intelligence algorithms, helping to provide real-time feedback control of grinding parameters for the purpose of reducing production costs (27). Artificial intelligence techniques can also protect the network from data transmission, for example, P Rani, Kavita, S Verma, et al (28) proposed a new update routing protocol combining the advantages of artificial bee colony, artificial neural network and support vector machine techniques as a way to protect the network from black hole attacks. Artificial intelligence techniques can also be applied in the field of scheduling, for example, to solve the scheduling problem of CDT trucks, M Dulebenets (29) proposed a new adaptive multiplicative modal algorithm, which can assist in the correct planning of CDT jobs.…”

Section: Related Workmentioning

confidence: 99%

Application of random forest based on semi-automatic parameter adjustment for optimization of anti-breast cancer drugs

Zhang

Kong

et al. 2022

Front. Oncol.

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The optimization of drug properties in the process of cancer drug development is very important to save research and development time and cost. In order to make the anti-breast cancer drug candidates with good biological activity, this paper collected 1974 compounds, firstly, the top 20 molecular descriptors that have the most influence on biological activity were screened by using XGBoost-based data feature selection; secondly, on this basis, take pIC50 values as feature data and use a variety of machine learning algorithms to compare, soas to select a most suitable algorithm to predict the IC50 and pIC50 values. It is preliminarily found that the effects of Random Forest, XGBoost and Gradient-enhanced algorithms are good and have little difference, and the Support vector machine is the worst. Then, using the Semi-automatic parameter adjustment method to adjust the parameters of Random Forest, XGBoost and Gradient-enhanced algorithms to find the optimal parameters. It is found that the Random Forest algorithm has high accuracy and excellent anti over fitting, and the algorithm is stable. Its prediction accuracy is 0.745. Finally, the accuracy of the results is verified by training the model with the preliminarily selected data, which provides an innovative solution for the optimization of the properties of anti- breast cancer drugs, and can provide better support for the early research and development of anti-breast cancer drugs.

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Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks

Cited by 26 publications

References 40 publications

Analysis of 22-year Drought Characteristics in Heilongjiang Province Based on Temperature Vegetation Drought Index

Analysis of 22-year Drought Characteristics in Heilongjiang Province Based on Temperature Vegetation Drought Index

Z number improved reference ideal method‐based decision‐making process for enforcing cooperation during data dissemination in mobile ad hoc networks

Application of random forest based on semi-automatic parameter adjustment for optimization of anti-breast cancer drugs

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