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  • Open Access

    ARTICLE

    Improved DHOA-Fuzzy Based Load Scheduling in IoT Cloud Environment

    R. Joshua Samuel Raj1, V. Ilango2, Prince Thomas3, V. R. Uma4, Fahd N. Al-Wesabi5,6,*, Radwa Marzouk7, Anwer Mustafa Hilal8

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 4101-4114, 2022, DOI:10.32604/cmc.2022.022063 - 07 December 2021

    Abstract Internet of things (IoT) has been significantly raised owing to the development of broadband access network, machine learning (ML), big data analytics (BDA), cloud computing (CC), and so on. The development of IoT technologies has resulted in a massive quantity of data due to the existence of several people linking through distinct physical components, indicating the status of the CC environment. In the IoT, load scheduling is realistic technique in distinct data center to guarantee the network suitability by falling the computer hardware and software catastrophe and with right utilize of resource. The ideal load… More >

  • Open Access

    ARTICLE

    Design of Automated Opinion Mining Model Using Optimized Fuzzy Neural Network

    Ala’ A. Eshmawi1, Hesham Alhumyani2, Sayed Abdel Khalek3, Rashid A. Saeed2, Mahmoud Ragab4, Romany F. Mansour5,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2543-2557, 2022, DOI:10.32604/cmc.2022.021833 - 07 December 2021

    Abstract Sentiment analysis or Opinion Mining (OM) has gained significant interest among research communities and entrepreneurs in the recent years. Likewise, Machine Learning (ML) approaches is one of the interesting research domains that are highly helpful and are increasingly applied in several business domains. In this background, the current research paper focuses on the design of automated opinion mining model using Deer Hunting Optimization Algorithm (DHOA) with Fuzzy Neural Network (FNN) abbreviated as DHOA-FNN model. The proposed DHOA-FNN technique involves four different stages namely, preprocessing, feature extraction, classification, and parameter tuning. In addition to the above, More >

  • Open Access

    ARTICLE

    Vision Based Real Time Monitoring System for Elderly Fall Event Detection Using Deep Learning

    G. Anitha1,*, S. Baghavathi Priya2

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 87-103, 2022, DOI:10.32604/csse.2022.020361 - 02 December 2021

    Abstract Human fall detection plays a vital part in the design of sensor based alarming system, aid physical therapists not only to lessen after fall effect and also to save human life. Accurate and timely identification can offer quick medical services to the injured people and prevent from serious consequences. Several vision-based approaches have been developed by the placement of cameras in diverse everyday environments. At present times, deep learning (DL) models particularly convolutional neural networks (CNNs) have gained much importance in the fall detection tasks. With this motivation, this paper presents a new vision based… More >

  • Open Access

    ARTICLE

    N-Body Simulation Inspired by Metaheuristics Optimization

    Muhammad Ali Ismail*, Maria Waqas, Farah Sadiq

    Computer Systems Science and Engineering, Vol.41, No.3, pp. 1143-1155, 2022, DOI:10.32604/csse.2022.021604 - 10 November 2021

    Abstract The N-body problem in classical physics, is the calculation of force of gravitational attraction of heavenly bodies towards each other. Solving this problem for many heavenly bodies has always posed a challenge to physicists and mathematicians. Large number of bodies, huge masses, long distances and exponentially increasing number of equations of motion of the bodies have been the major hurdles in solving this problem for large and complex galaxies. Advent of high performance computational machines have mitigated the problem to much extent, but still for large number of bodies it consumes huge amount of resources… More >

  • Open Access

    ARTICLE

    Energy Efficient QoS Aware Cluster Based Multihop Routing Protocol for WSN

    M.S. Maharajan1,*, T. Abirami2

    Computer Systems Science and Engineering, Vol.41, No.3, pp. 1173-1189, 2022, DOI:10.32604/csse.2022.020312 - 10 November 2021

    Abstract Wireless sensor networks (WSN) have become a hot research area owing to the unique characteristics and applicability in diverse application areas. Clustering and routing techniques can be considered as an NP hard optimization problem, which can be addressed by metaheuristic optimization algorithms. With this motivation, this study presents a chaotic sandpiper optimization algorithm based clustering with groundwater flow optimization based routing technique (CSPOC-GFLR). The goal of the CSOC-GFLR technique is to cluster the sensor nodes in WSN and elect an optimal set of routes with an intention of achieving energy efficiency and maximizing network lifetime. More >

  • Open Access

    ARTICLE

    Energy Aware Metaheuristic Optimization with Location Aided Routing Protocol for MANET

    E. Ahila Devi1, K. C. Ramya2, K. Sathesh Kumar3, Sultan Ahmad4, Seifedine Kadry5, Hyung Ju Park6, Byeong-Gwon Kang6,*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1567-1580, 2022, DOI:10.32604/cmc.2022.022539 - 03 November 2021

    Abstract A mobile ad hoc network (MANET) involves a group of wireless mobile nodes which create an impermanent network with no central authority and infrastructure. The nodes in the MANET are highly mobile and it results in adequate network topology, link loss, and increase the re-initialization of the route discovery process. Route planning in MANET is a multi-hop communication process due to the restricted transmission range of the nodes. Location aided routing (LAR) is one of the effective routing protocols in MANET which suffers from the issue of high energy consumption. Though few research works have… More >

  • Open Access

    ARTICLE

    Evolutionary Algorithm Based Task Scheduling in IoT Enabled Cloud Environment

    R. Joshua Samuel Raj1, M. Varalatchoumy2, V. L. Helen Josephine3, A. Jegatheesan4, Seifedine Kadry5, Maytham N. Meqdad6, Yunyoung Nam7,*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1095-1109, 2022, DOI:10.32604/cmc.2022.021859 - 03 November 2021

    Abstract Internet of Things (IoT) is transforming the technical setting of conventional systems and finds applicability in smart cities, smart healthcare, smart industry, etc. In addition, the application areas relating to the IoT enabled models are resource-limited and necessitate crisp responses, low latencies, and high bandwidth, which are beyond their abilities. Cloud computing (CC) is treated as a resource-rich solution to the above mentioned challenges. But the intrinsic high latency of CC makes it nonviable. The longer latency degrades the outcome of IoT based smart systems. CC is an emergent dispersed, inexpensive computing pattern with massive… More >

  • Open Access

    ARTICLE

    Performance of Gradient-Based Optimizer for Optimum Wind Cube Design

    Alaa A. K. Ismaeel1,2, Essam H. Houssein3, Amir Y. Hassan4, Mokhtar Said5,*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 339-353, 2022, DOI:10.32604/cmc.2022.021517 - 03 November 2021

    Abstract Renewable energy is a safe and limitless energy source that can be utilized for heating, cooling, and other purposes. Wind energy is one of the most important renewable energy sources. Power fluctuation of wind turbines occurs due to variation of wind velocity. A wind cube is used to decrease power fluctuation and increase the wind turbine’s power. The optimum design for a wind cube is the main contribution of this work. The decisive design parameters used to optimize the wind cube are its inner and outer radius, the roughness factor, and the height of the… More >

  • Open Access

    ARTICLE

    Artificial Intelligence Based Sentiment Analysis for Health Crisis Management in Smart Cities

    Anwer Mustafa Hilal1, Badria Sulaiman Alfurhood2, Fahd N. Al-Wesabi3,4, Manar Ahmed Hamza1,*, Mesfer Al Duhayyim5, Huda G. Iskandar4,6

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 143-157, 2022, DOI:10.32604/cmc.2022.021502 - 03 November 2021

    Abstract Smart city promotes the unification of conventional urban infrastructure and information technology (IT) to improve the quality of living and sustainable urban services in the city. To accomplish this, smart cities necessitate collaboration among the public as well as private sectors to install IT platforms to collect and examine massive quantities of data. At the same time, it is essential to design effective artificial intelligence (AI) based tools to handle healthcare crisis situations in smart cities. To offer proficient services to people during healthcare crisis time, the authorities need to look closer towards them. Sentiment… More >

  • Open Access

    ARTICLE

    Energy Aware Data Collection with Route Planning for 6G Enabled UAV Communication

    Mesfer Al Duhayyim1, Marwa Obayya2, Fahd N. Al-Wesabi3,4, Anwer Mustafa Hilal5,*, Mohammed Rizwanullah5, Majdy M. Eltahir6

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 825-842, 2022, DOI:10.32604/cmc.2022.021490 - 03 November 2021

    Abstract With technological advancements in 6G and Internet of Things (IoT), the incorporation of Unmanned Aerial Vehicles (UAVs) and cellular networks has become a hot research topic. At present, the proficient evolution of 6G networks allows the UAVs to offer cost-effective and timely solutions for real-time applications such as medicine, tracking, surveillance, etc. Energy efficiency, data collection, and route planning are crucial processes to improve the network communication. These processes are highly difficult owing to high mobility, presence of non-stationary links, dynamic topology, and energy-restricted UAVs. With this motivation, the current research paper presents a novel… More >

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