Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (407)
  • Open Access

    ARTICLE

    Collision Observation-Based Optimization of Low-Power and Lossy IoT Network Using Reinforcement Learning

    Arslan Musaddiq1, Rashid Ali2, Jin-Ghoo Choi1, Byung-Seo Kim3,*, Sung-Won Kim1

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 799-814, 2021, DOI:10.32604/cmc.2021.014751

    Abstract The Internet of Things (IoT) has numerous applications in every domain, e.g., smart cities to provide intelligent services to sustainable cities. The next-generation of IoT networks is expected to be densely deployed in a resource-constrained and lossy environment. The densely deployed nodes producing radically heterogeneous traffic pattern causes congestion and collision in the network. At the medium access control (MAC) layer, mitigating channel collision is still one of the main challenges of future IoT networks. Similarly, the standardized network layer uses a ranking mechanism based on hop-counts and expected transmission counts (ETX), which often does not adapt to the dynamic… More >

  • Open Access

    ARTICLE

    An AIoT Monitoring System for Multi-Object Tracking and Alerting

    Wonseok Jung1, Se-Han Kim2, Seng-Phil Hong3, Jeongwook Seo4,*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 337-348, 2021, DOI:10.32604/cmc.2021.014561

    Abstract Pig farmers want to have an effective solution for automatically detecting and tracking multiple pigs and alerting their conditions in order to recognize disease risk factors quickly. In this paper, therefore, we propose a novel monitoring system using an Artificial Intelligence of Things (AIoT) technique combining artificial intelligence and Internet of Things (IoT). The proposed system consists of AIoT edge devices and a central monitoring server. First, an AIoT edge device extracts video frame images from a CCTV camera installed in a pig pen by a frame extraction method, detects multiple pigs in the images by a faster region-based convolutional… More >

  • Open Access

    ARTICLE

    A Secure NDN Framework for Internet of Things Enabled Healthcare

    Syed Sajid Ullah1, Saddam Hussain1,*, Abdu Gumaei2,3, Hussain AlSalman2,4

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 223-240, 2021, DOI:10.32604/cmc.2021.014413

    Abstract Healthcare is a binding domain for the Internet of Things (IoT) to automate healthcare services for sharing and accumulation patient records at anytime from anywhere through the Internet. The current IP-based Internet architecture suffers from latency, mobility, location dependency, and security. The Named Data Networking (NDN) has been projected as a future internet architecture to cope with the limitations of IP-based Internet. However, the NDN infrastructure does not have a secure framework for IoT healthcare information. In this paper, we proposed a secure NDN framework for IoT-enabled Healthcare (IoTEH). In the proposed work, we adopt the services of Identity-Based Signcryption… More >

  • Open Access

    ARTICLE

    Security Requirement Management for Cloud-Assisted and Internet of Things—Enabled Smart City

    Muhammad Usman Tariq1, Muhammad Babar2, Mian Ahmad Jan3,4,5,*, Akmal Saeed Khattak6, Mohammad Dahman Alshehri7, Abid Yahya8

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 625-639, 2021, DOI:10.32604/cmc.2021.014165

    Abstract The world is rapidly changing with the advance of information technology. The expansion of the Internet of Things (IoT) is a huge step in the development of the smart city. The IoT consists of connected devices that transfer information. The IoT architecture permits on-demand services to a public pool of resources. Cloud computing plays a vital role in developing IoT-enabled smart applications. The integration of cloud computing enhances the offering of distributed resources in the smart city. Improper management of security requirements of cloud-assisted IoT systems can bring about risks to availability, security, performance, confidentiality, and privacy. The key reason… More >

  • Open Access

    ARTICLE

    Authenblue: A New Authentication Protocol for the Industrial Internet of Things

    Rachid Zagrouba1,*, Asayel AlAbdullatif1, Kholood AlAjaji1, Norah Al-Serhani1, Fahd Alhaidari1, Abdullah Almuhaideb2, Atta-ur-Rahman2

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1103-1119, 2021, DOI:10.32604/cmc.2021.014035

    Abstract The Internet of Things (IoT) is where almost anything can be controlled and managed remotely by means of sensors. Although the IoT evolution led to quality of life enhancement, many of its devices are insecure. The lack of robust key management systems, efficient identity authentication, low fault tolerance, and many other issues lead to IoT devices being easily targeted by attackers. In this paper we propose a new authentication protocol called Authenblue that improve the authentication process of IoT devices and Coordinators of Personal Area Network (CPANs) in an Industrial IoT (IIoT) environment. This study proposed Authenblue protocol as a… More >

  • Open Access

    ARTICLE

    Big Data of Home Energy Management in Cloud Computing

    Rizwan Munir1,*, Yifei Wei1, Rahim Ullah2, Iftikhar Hussain3, Kaleem Arshid4, Umair Tariq1

    Journal of Quantum Computing, Vol.2, No.4, pp. 193-202, 2020, DOI:10.32604/jqc.2020.016151

    Abstract A smart grid is the evolved form of the power grid with the integration of sensing, communication, computing, monitoring, and control technologies. These technologies make the power grid reliable, efficient, and economical. However, the smartness boosts the volume of data in the smart grid. To obligate full benefits, big data has attractive techniques to process and analyze smart grid data. This paper presents and simulates a framework to make sure the use of big data computing technique in the smart grid. The offered framework comprises of the following four layers: (i) Data source layer, (ii) Data transmission layer, (iii) Data… More >

  • Open Access

    ARTICLE

    Energy-Efficient and Blockchain-Enabled Model for Internet of Things (IoT) in Smart Cities

    Norah Saleh Alghamdi1,*, Mohammad Ayoub Khan2

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2509-2524, 2021, DOI:10.32604/cmc.2021.014180

    Abstract Wireless sensor networks (WSNs) and Internet of Things (IoT) have gained more popularity in recent years as an underlying infrastructure for connected devices and sensors in smart cities. The data generated from these sensors are used by smart cities to strengthen their infrastructure, utilities, and public services. WSNs are suitable for long periods of data acquisition in smart cities. To make the networks of smart cities more reliable for sensitive information, the blockchain mechanism has been proposed. The key issues and challenges of WSNs in smart cities is efficiently scheduling the resources; leading to extending the network lifetime of sensors.… More >

  • Open Access

    ARTICLE

    A Formal Testing Model for Operating Room Control System Using Internet of Things

    Moez Krichen1, Seifeddine Mechti2, Roobaea Alroobaea3, Elyes Said4, Parminder Singh5, Osamah Ibrahim Khalaf6, Mehedi Masud3,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2997-3011, 2021, DOI:10.32604/cmc.2021.014090

    Abstract Technological advances in recent years have significantly changed the way an operating room works. This work aims to create a platform to solve the problems of operating room occupancy and prepare the rooms with an environment that is favorable for all operations. Using this system, a doctor can control all operation rooms, especially before an operation, and monitor their temperature and humidity to prepare for the operation. Also, in the event of a problem, an alert is sent to the nurse responsible for the room and medical stuff so that the problem can be resolved. The platform is tested using… More >

  • Open Access

    ARTICLE

    Robust Attack Detection Approach for IIoT Using Ensemble Classifier

    V. Priya1, I. Sumaiya Thaseen1, Thippa Reddy Gadekallu1, Mohamed K. Aboudaif2,*, Emad Abouel Nasr3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2457-2470, 2021, DOI:10.32604/cmc.2021.013852

    Abstract Generally, the risks associated with malicious threats are increasing for the Internet of Things (IoT) and its related applications due to dependency on the Internet and the minimal resource availability of IoT devices. Thus, anomaly-based intrusion detection models for IoT networks are vital. Distinct detection methodologies need to be developed for the Industrial Internet of Things (IIoT) network as threat detection is a significant expectation of stakeholders. Machine learning approaches are considered to be evolving techniques that learn with experience, and such approaches have resulted in superior performance in various applications, such as pattern recognition, outlier analysis, and speech recognition.… More >

  • Open Access

    ARTICLE

    Internet of Things Enabled Intelligent Energy Management and Control System for Heavy Equipment Industrial Park and Fuzzy Assessment of Its Schemes

    Jia Zhu*

    Energy Engineering, Vol.118, No.2, pp. 379-397, 2021, DOI:10.32604/EE.2021.014178

    Abstract In order to solve the problems of poor information flow, low energy utilization rate and energy consumption data reuse in the heavy equipment industrial park, the Internet of Things (IoT) technology is applied to construct the intelligent energy management and control system (IEMCS). The application architecture and function module planning are analyzed and designed. Furthermore, the IEMCS scheme is not unique due to the fuzziness of customer demand and the understanding deviation of designer to customer demand in the design stage. Scheme assessment is of great significance for the normal subsequent implementation of the system. A fuzzy assessment method for… More >

Displaying 361-370 on page 37 of 407. Per Page