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  • Open Access

    ARTICLE

    Intelligent Agriculture Technology Based on Internet of Things

    Lili Sun1, Hairui Sun2, Ning Cao1, Xiuli Han3, Guangsheng Cao3, Wei Huo3, Dongjie Zhu4,*, Russell Higgs5

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 429-439, 2022, DOI:10.32604/iasc.2022.021526 - 26 October 2021

    Abstract Although the application of agricultural product traceability technology is a key point to realize Modern Agricultural IoT, it has still encountered various food safety problems. For example, immature environmental monitoring technology of agricultural products, weak product traceability and imperfect product monitoring equipment. For this reason, this paper studies and compares several emerging technologies of the things Internet, then it analyzes the functional diversity and practicability of the Modern Agricultural IoT. It builds the experimental environment based on the agricultural product traceability technology, so as to realize the monitoring of crop growth environment and traceability. The… More >

  • Open Access

    ARTICLE

    Automated Learning of ECG Streaming Data Through Machine Learning Internet of Things

    Mwaffaq Abu-Alhaija, Nidal M. Turab*

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 45-53, 2022, DOI:10.32604/iasc.2022.021426 - 26 October 2021

    Abstract Applying machine learning techniques on Internet of Things (IoT) data streams will help achieve better understanding, predict future perceptions, and make crucial decisions based on those analytics. The collaboration between IoT, Big Data and machine learning can be found in different domains such as Health care, Smart cities, and Telecommunications. The aim of this paper is to develop a method for automated learning of electrocardiogram (ECG) streaming data to detect any heart beat anomalies. A promising solution is to use medical sensors that transfer vital signs to medical care computer systems, combined with machine learning, More >

  • Open Access

    ARTICLE

    Optimal Data Placement and Replication Approach for SIoT with Edge

    B. Prabhu Shankar1,*, S. Chitra2

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 661-676, 2022, DOI:10.32604/csse.2022.019507 - 25 October 2021

    Abstract Social networks (SNs) are sources with extreme number of users around the world who are all sharing data like images, audio, and video to their friends using IoT devices. This concept is the so-called Social Internet of Things (SIot). The evolving nature of edge-cloud computing has enabled storage of a large volume of data from various sources, and this task demands an efficient storage procedure. For this kind of large volume of data storage, the usage of data replication using edge with geo-distributed cloud service area is suited to fulfill the user’s expectations with low… More >

  • Open Access

    ARTICLE

    Exploring and Modelling IoT Offloading Policies in Edge Cloud Environments

    Jaber Almutairi1, Mohammad Aldossary2,*

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 611-624, 2022, DOI:10.32604/csse.2022.018112 - 25 October 2021

    Abstract The Internet of Things (IoT) has recently become a popular technology that can play increasingly important roles in every aspect of our daily life. For collaboration between IoT devices and edge cloud servers, edge server nodes provide the computation and storage capabilities for IoT devices through the task offloading process for accelerating tasks with large resource requests. However, the quantitative impact of different offloading architectures and policies on IoT applications’ performance remains far from clear, especially with a dynamic and unpredictable range of connected physical and virtual devices. To this end, this work models the More >

  • Open Access

    ARTICLE

    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 - 11 October 2021

    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 More >

  • Open Access

    ARTICLE

    Controller Placement in Software Defined Internet of Things Using Optimization Algorithm

    Sikander Hans1, Smarajit Ghosh1, Aman Kataria2, Vinod Karar2,*, Sarika Sharma3

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5073-5089, 2022, DOI:10.32604/cmc.2022.019971 - 11 October 2021

    Abstract The current and future status of the internet is represented by the upcoming Internet of Things (IoT). The internet can connect the huge amount of data, which contains lot of processing operations and efforts to transfer the pieces of information. The emerging IoT technology in which the smart ecosystem is enabled by the physical object fixed with software electronics, sensors and network connectivity. Nowadays, there are two trending technologies that take the platform i.e., Software Defined Network (SDN) and IoT (SD-IoT). The main aim of the IoT network is to connect and organize different objects… More >

  • Open Access

    ARTICLE

    Ontology Driven Testing Strategies for IoT Applications

    Muhammad Raza Naqvi1, Muhammad Waseem Iqbal2, Muhammad Usman Ashraf3, Shafiq Ahmad4, Ahmed T. Soliman4, Shahzada Khurram5, Muhammad Shafiq6,*, Jin-Ghoo Choi6

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5855-5869, 2022, DOI:10.32604/cmc.2022.019188 - 11 October 2021

    Abstract Internet-of-Things (IoT) has attained a major share in embedded software development. The new era of specialized intelligent systems requires adaptation of customized software engineering approaches. Currently, software engineering has merged the development phases with the technologies provided by industrial automation. The improvements are still required in testing phase for the software developed to IoT solutions. This research aims to assist in developing the testing strategies for IoT applications, therein ontology has been adopted as a knowledge representation technique to different software engineering processes. The proposed ontological model renders 101 methodology by using Protégé. After completion, More >

  • Open Access

    ARTICLE

    Deep Neural Artificial Intelligence for IoT Based Tele Health Data Analytics

    Nithya Rekha Sivakumar1,*, Ahmed Zohair Ibrahim2

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4467-4483, 2022, DOI:10.32604/cmc.2022.019041 - 11 October 2021

    Abstract

    Tele health utilizes information and communication mechanisms to convey medical information for providing clinical and educational assistances. It makes an effort to get the better of issues of health service delivery involving time factor, space and laborious terrains, validating cost-efficiency and finer ingress in both developed and developing countries. Tele health has been categorized into either real-time electronic communication, or store-and-forward communication. In recent years, a third-class has been perceived as remote healthcare monitoring or tele health, presuming data obtained via Internet of Things (IOT). Although, tele health data analytics and machine learning have been researched

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  • Open Access

    An Access Control Scheme Using Heterogeneous Signcryption for IoT Environments

    Insaf Ullah1,*, Hira Zahid2 , Fahad Algarni3, Muhammad Asghar Khan1

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4307-4321, 2022, DOI:10.32604/cmc.2022.017380 - 11 October 2021

    Abstract

    When the Wireless Sensor Network (WSN) is combined with the Internet of Things (IoT), it can be employed in a wide range of applications, such as agriculture, industry 4.0, health care, smart homes, among others. Accessing the big data generated by these applications in Cloud Servers (CSs), requires higher levels of authenticity and confidentiality during communication conducted through the Internet. Signcryption is one of the most promising approaches nowadays for overcoming such obstacles, due to its combined nature, i.e., signature and encryption. A number of researchers have developed schemes to address issues related to access control

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  • Open Access

    ARTICLE

    GDPR Compliance IoT Authentication Model for Smart Home Environment

    Hisham Raad Jafer Merzeh1,*, Mustafa Kara2, Muhammed Ali Aydın3, Hasan Hüseyin Balık1

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1953-1970, 2022, DOI:10.32604/iasc.2022.021297 - 09 October 2021

    Abstract The Internet of things (IoT) became quickly one of the most popular and most discussed topics in research. Studies paid attention to the Internet stuff, primarily to new products that aim to achieve greater efficiency and simplicity in life. IoT may cover several fields of the smart environment. Because of the data exposure that occurs when data is transferred via various channels, data protection issues have become a major problem as the company continues to expand. When user privacy and property are taken into consideration, the situation may become much worse. As a result, the… More >

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