An Effective Framework for Enhancing Performance of Internet of Things using Ant Colony Meta-Heuristic and Machine Learning Algorithms

Hassan, Hassan Fakhry; Aldulaimi, Mohammed Hasan; Zahra, Musaddak Maher Abdul; Jaleel, Refed Adnan

doi:10.1109/icacite53722.2022.9823808

Cited by 2 publications

(2 citation statements)

References 21 publications

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“…IoT is a concept coined in 1999; internet-connected devices (whether wired or wireless). Reasons for Internet opportunity now and in the future are affordable gadgets, tiny, high-powered devices (sensors) of the order of millimetres or nanometres; these can operate on very little power [2]. The phrase "Internet of Things" is made up of two words: "Internet," which refers to protocols, communication, and networks; and "things," which refers to hardware components such as sensors and actuators [3].…”

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confidence: 99%

Retracted: Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard

2023

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The Internet of Things (IoT) were employed to help clients access the needed products with less effort and time. To discover the optimal path, enhanced K-Means (EK-M) clustering is utilised. By reducing the number of K from two or more to one, the conventional K-Mean has been improved. Using an IoTs platform, the optimal path should be the shortest distance. In EK-M, K is a telephone location, by using Global positioning systems sensor in a smart phone, latitude and longitude are used to detect the location of the phone, and Google Maps are used to find the locations of shops on a virtual map. The largest issue with IoT is security because of its complicated environment and the constrained resources of its devices. Blockchain is the main way that important information on IoT platforms is kept safe. In this study, the IoT framework using Blockchain with Advanced Encryption Standard (AES) in a six-block mode is protected. Products data is being encrypted, then transmitted to the Internet by means of an authorised person to be obtained from anywhere. To get at the sensors' actual readings, the decryption is finally proposed. In EK-M and AES, the suggested system yields good, secure, and balanced results. K E Y W O R D Scomputer network security, cryptography, data mining, internet of things | INTRODUCTIONThe IoT is a network that links individually identifiable computing devices, items, digital machines, mechanical devices, humans, and animals. Without computer or human-computer or human-human contact, this system may transport information [1]. IoT is a concept coined in 1999; internet-connected devices (whether wired or wireless). Reasons for Internet opportunity now and in the future are affordable gadgets, tiny, high-powered devices (sensors) of the order of millimetres or nanometres; these can operate on very little power [2]. The phrase "Internet of Things" is made up of two words: "Internet," which refers to protocols, communication, and networks; and "things," which refers to hardware components such as sensors and actuators [3]. The goal of the IoT is to improve people's lives by making everything in the world such as smart phone, smart TV, robots, motor vehicles, light bulbs, air conditioners, shelf space in your grocery store that are connected, monitored, actuating, and interacting among themselves without human intervention to perform actions that affect [4,5]. IoT is a solution that improves the medical outcome, make shopping safe and enjoyable, or make products faster, IoT entered in several domains [6]. Protecting the IoT network from security breaches is made easier with the use of blockchain technology. Blockchain is a distributed ledger technology that when used with the IoTs enables transactions to take place between machines. It makes use of a number of database-recorded transactions, validated by various means and recorded in a shared ledger accessible to all nodes [7]. IoT and blockchain work together to provide a number of potential advantages, including the ability for smart devices to operat...

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Retracted: Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard

2023

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“…Layers of normalising and pooling can be placed immediately after the convolutionary ones, and traditionally, the Rectifying linear unit (ReLU) is applied to activate or initiate all layers. Each neuron's output is transformed by the ReLU and the output is then mapped to the highest possible value or zero if the value is negative [ 45 ]. It uses adaptive learning to learn the parameters of rectifiers, resulting in a significant improvement in accuracy at a minimal cost [ 46 , 47 ].…”

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confidence: 99%

Enabling image optimisation and artificial intelligence technologies for better Internet of Things framework to predict COVID

2022

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Sensor technology advancements have provided a viable solution to fight COVID and to develop healthcare systems based on Internet of Things (IoTs). In this study, image processing and Artificial Intelligence (AI) are used to improve the IoT framework. Computed Tomography (CT) image‐based forecasting of COVID disease is among the important activities in medicine for measuring the severity of variability in the human body. In COVID CT images, the optimal gamma correction value was optimised using the Whale Optimisation Algorithm (WOA). During the search for the optimal solution, WOA was found to be a highly efficient algorithm, which has the characteristics of high precision and fast convergence. Whale Optimisation Algorithm is used to find best gamma correction value to present detailed information about a lung CT image, Also, in this study, analysis of important AI techniques has been done, such as Support Vector Machine (SVM) and Deep‐Learning (Deep‐Learning (DL)) for COVID disease forecasting in terms of amount of data training and computational power. Many experiments have been implemented to investigate the optimisation: SVM and DL with WOA and without WOA are compared by using confusion matrix parameters. From the results, we find that the DL model outperforms the SVM with WOA and without WOA.

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An Effective Framework for Enhancing Performance of Internet of Things using Ant Colony Meta-Heuristic and Machine Learning Algorithms

Cited by 2 publications

References 21 publications

Retracted: Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard

Retracted: Smart optimal path with blockchain modelling in internet of things using enhanced K‐means clustering and advance encryption standard

Enabling image optimisation and artificial intelligence technologies for better Internet of Things framework to predict COVID

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