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Research Article

BEST PAPER 2021

Advancements in Lightweight AI for Constrained Internet of Things Devices for Smart Cities


Submission Deadline: 30 September 2021 (closed)

Abstract

This article has no abstract.

Keywords

Model Optimization
Smart Cities
Internet of Things
Blockchain
Service Orchestration
Computer Vision
Medical Image Processing
Digital Twin
Virtualization
  • Research Article

    BEST PAPER 2021

    An Energy-Efficient Mobile Agent-Based Data Aggregation Scheme for Wireless Body Area Networks

    Gulzar Mehmood1, Muhammad Zahid Khan1, Muhammad Fayaz2, Mohammad Faisal1, Haseeb Ur Rahman1, Jeonghwan Gwak3,4,5,6,* CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5929-5948, 2022, DOI:10.32604/cmc.2022.020546
    Abstract Due to the advancement in wireless technology and miniaturization, Wireless Body Area Networks (WBANs) have gained enormous popularity, having various applications, especially in the healthcare sector. WBANs are intrinsically resource-constrained; therefore, they have specific design and development requirements. One such highly desirable requirement is an energy-efficient and reliable Data Aggregation (DA) mechanism for WBANs. The efficient and reliable DA may ultimately push the network to operate without much human intervention and further extend the network lifetime. The conventional client-server DA paradigm becomes unsuitable and inefficient for WBANs when a large amount of data is generated in the network. Similarly, in… More >

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  • Research Article

    BEST PAPER 2021

    EEG-Based Neonatal Sleep Stage Classification Using Ensemble Learning

    Saadullah Farooq Abbasi1,2, Harun Jamil3, Wei Chen2,* CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4619-4633, 2022, DOI:10.32604/cmc.2022.020318
    Abstract Sleep stage classification can provide important information regarding neonatal brain development and maturation. Visual annotation, using polysomnography (PSG), is considered as a gold standard for neonatal sleep stage classification. However, visual annotation is time consuming and needs professional neurologists. For this reason, an internet of things and ensemble-based automatic sleep stage classification has been proposed in this study. 12 EEG features, from 9 bipolar channels, were used to train and test the base classifiers including convolutional neural network, support vector machine, and multilayer perceptron. Bagging and stacking ensembles are then used to combine the outputs for final classification. The proposed… More >

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  • Research Article

    BEST PAPER 2021

    Fuzzy-Based Automatic Epileptic Seizure Detection Framework

    Aayesha1, Muhammad Bilal Qureshi2, Muhammad Afzaal3, Muhammad Shuaib Qureshi4, Jeonghwan Gwak5,6,7,8,* CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5601-5630, 2022, DOI:10.32604/cmc.2022.020348
    Abstract Detection of epileptic seizures on the basis of Electroencephalogram (EEG) recordings is a challenging task due to the complex, non-stationary and non-linear nature of these biomedical signals. In the existing literature, a number of automatic epileptic seizure detection methods have been proposed that extract useful features from EEG segments and classify them using machine learning algorithms. Some characterizing features of epileptic and non-epileptic EEG signals overlap; therefore, it requires that analysis of signals must be performed from diverse perspectives. Few studies analyzed these signals in diverse domains to identify distinguishing characteristics of epileptic EEG signals. To pose the challenge mentioned… More >

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  • Research Article

    BEST PAPER 2021

    Blockchain and Machine Learning for Intelligent Multiple Factor-Based Ride-Hailing Services

    Zeinab Shahbazi, Yung-Cheol Byun* CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4429-4446, 2022, DOI:10.32604/cmc.2022.019755
    Abstract One of the common transportation systems in Korea is calling taxis through online applications, which is more convenient for passengers and drivers in the modern area. However, the driver's passenger taxi request can be rejected based on the driver's location and distance. Therefore, there is a need to specify driver's acceptance and rejection of the received request. The security of this system is another main core to save the transaction information and safety of passengers and drivers. In this study, the origin and destination of the Jeju island South Korea were captured from T-map and processed based on machine learning… More >

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  • Research Article

    BEST PAPER 2021

    Improved Sequencing Heuristic DSDV Protocol Using Nomadic Mobility Model for FANETS

    Inam Ullah Khan1, Muhammad Abul Hassan2, Muhammad Fayaz3, Jeonghwan Gwak4,5,6,7,*, Muhammad Adnan Aziz1 CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3653-3666, 2022, DOI:10.32604/cmc.2022.020697
    Abstract Most interesting area is the growing demand of flying-IoT mergers with smart cities. However, aerial vehicles, especially unmanned aerial vehicles (UAVs), have limited capabilities for maintaining node energy efficiency. In order to communicate effectively, IoT is a key element for smart cities. While improving network performance, routing protocols can be deployed in flying-IoT to improve latency, packet drop rate, packet delivery, power utilization, and average-end-to-end delay. Furthermore, in literature, proposed techniques are very much complex which cannot be easily implemented in real-world applications. This issue leads to the development of lightweight energy-efficient routing in flying-IoT networks. This paper addresses the… More >

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  • Research Article

    BEST PAPER 2021

    IoT Devices Authentication Using Artificial Neural Network

    Syed Shabih Ul Hasan1, Anwar Ghani1, Ikram Ud Din2, Ahmad Almogren3,*, Ayman Altameem4 CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3701-3716, 2022, DOI:10.32604/cmc.2022.020624
    Abstract User authentication is one of the critical concerns of information security. Users tend to use strong textual passwords, but remembering complex passwords is hard as they often write it on a piece of paper or save it in their mobile phones. Textual passwords are slightly unprotected and are easily attackable. The attacks include dictionary, shoulder surfing, and brute force. Graphical passwords overcome the shortcomings of textual passwords and are designed to aid memorability and ease of use. This paper proposes a Process-based Pattern Authentication (PPA) system for Internet of Things (IoT) devices that does not require a server to maintain… More >

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  • Research Article

    BEST PAPER 2021

    Earthquake Risk Assessment Approach Using Multiple Spatial Parameters for Shelter Demands

    Wenquan Jin1, Naeem Iqbal2, Hee-Cheal Kang3, Dohyeun Kim2,* CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3763-3780, 2022, DOI:10.32604/cmc.2022.020336
    Abstract The earthquake is considered one of the most devastating disasters in any area of the world due to its potentially destructive force. Based on the various earthquake-related parameters, the risk assessment is enabled in advance to prevent future earthquake disasters. In this paper, for providing the shelter space demands to reduce the damage level and prevention costs, an earthquake risk assessment approach is proposed for deriving the risk index based on multiple spatial parameters in the gridded map. The proposed assessment approach is comprised of pre-processing, methodology model, and data visualization. The risk index model derives the earthquake risk index… More >

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  • Research Article

    BEST PAPER 2021

    Intelligent Microservice Based on Blockchain for Healthcare Applications

    Faisal Jamil1, Faiza Qayyum1, Soha Alhelaly2, Farjeel Javed3, Ammar Muthanna4,5,* CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2513-2530, 2021, DOI:10.32604/cmc.2021.018809
    Abstract Nowadays, the blockchain, Internet of Things, and artificial intelligence technology revolutionize the traditional way of data mining with the enhanced data preprocessing, and analytics approaches, including improved service platforms. Nevertheless, one of the main challenges is designing a combined approach that provides the analytics functionality for diverse data and sustains IoT applications with robust and modular blockchain-enabled services in a diverse environment. Improved data analytics model not only provides support insights in IoT data but also fosters process productivity. Designing a robust IoT-based secure analytic model is challenging for several purposes, such as data from diverse sources, increasing data size,… More >

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