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  • Open Access

    ARTICLE

    Robust Cluster-Based Routing Protocol for IoT-Assisted Smart Devices in WSN

    Maryam Shafiq1, Humaira Ashraf1, Ata Ullah2, Mehedi Masud3, Muhammad Azeem2, N. Z. Jhanjhi4,*, Mamoona Humayun5

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3505-3521, 2021, DOI:10.32604/cmc.2021.015533

    Abstract The Internet of Things (IoT) is gaining attention because of its broad applicability, especially by integrating smart devices for massive communication during sensing tasks. IoT-assisted Wireless Sensor Networks (WSN) are suitable for various applications like industrial monitoring, agriculture, and transportation. In this regard, routing is challenging to find an efficient path using smart devices for transmitting the packets towards big data repositories while ensuring efficient energy utilization. This paper presents the Robust Cluster Based Routing Protocol (RCBRP) to identify the routing paths where less energy is consumed to enhances the network lifespan. The scheme is presented in six phases to… More >

  • Open Access

    ARTICLE

    Energy-Efficient Transmission Range Optimization Model for WSN-Based Internet of Things

    Md. Jalil Piran1, Sandeep Verma2, Varun G. Menon3, Doug Young Suh4,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2989-3007, 2021, DOI:10.32604/cmc.2021.015426

    Abstract With the explosive advancements in wireless communications and digital electronics, some tiny devices, sensors, became a part of our daily life in numerous fields. Wireless sensor networks (WSNs) is composed of tiny sensor devices. WSNs have emerged as a key technology enabling the realization of the Internet of Things (IoT). In particular, the sensor-based revolution of WSN-based IoT has led to considerable technological growth in nearly all circles of our life such as smart cities, smart homes, smart healthcare, security applications, environmental monitoring, etc. However, the limitations of energy, communication range, and computational resources are bottlenecks to the widespread applications… More >

  • Open Access

    ARTICLE

    Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems

    Adeeb Salh1, Lukman Audah1,*, Qazwan Abdullah1, Nor Shahida M. Shah2, Shipun A. Hamzah1, Shahilah Nordin3, Nabil Farah2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3189-3214, 2021, DOI:10.32604/cmc.2021.014746

    Abstract Energy efficiency (EE) is a critical design when taking into account circuit power consumption (CPC) in fifth-generation cellular networks. These problems arise because of the increasing number of antennas in massive multiple-input multiple-output (MIMO) systems, attributable to inter-cell interference for channel state information. Apart from that, a higher number of radio frequency (RF) chains at the base station and active users consume more power due to the processing activities in digital-to-analogue converters and power amplifiers. Therefore, antenna selection, user selection, optimal transmission power, and pilot reuse power are important aspects in improving energy efficiency in massive MIMO systems. This work… More >

  • Open Access

    ARTICLE

    On the Efficiency of a CFD-Based Full Convolution Neural Network for the Post-Processing of Field Data

    Sheng Bai, Feng Bao*, Fengzhi Zhao

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 39-47, 2021, DOI:10.32604/fdmp.2021.010376

    Abstract The present study aims to improve the efficiency of typical procedures used for post-processing flow field data by applying a neural-network technology. Assuming a problem of aircraft design as the workhorse, a regression calculation model for processing the flow data of a FCN-VGG19 aircraft is elaborated based on VGGNet (Visual Geometry Group Net) and FCN (Fully Convolutional Network) techniques. As shown by the results, the model displays a strong fitting ability, and there is almost no over-fitting in training. Moreover, the model has good accuracy and convergence. For different input data and different grids, the model basically achieves convergence, showing… More >

  • Open Access

    ARTICLE

    Adjusting Nitrogen Application in Accordance with Soil Water Availability Enhances Yield and Water Use by Regulating Physiological Traits of Maize under Drip Fertigation

    Mingda Yang1, Shouchen Ma2, Fujian Mei1, Li Wei1, Tongchao Wang1,*, Xiaokang Guan1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 417-435, 2021, DOI:10.32604/phyton.2021.013175

    Abstract Knowledge of the interactive effects of water and nitrogen (N) on physio-chemical traits of maize (Zea mays L.) helps to optimize water and N management and improve productivity. A split-plot experiment was conducted with three soil water conditions (severe drought, moderate drought, and fully water supply referring to 45%–55%, 65%–75%, and 85%–95% field capacity, respectively) and four N application rates (N0, N150, N240, and N330 referring to 0, 150, 240, 330 kg N ha–1 respectively) under drip fertigation in 2014 and 2015 in the Huang-Huai-Hai Plain of China. The results indicated that drought stress inhibited physiological activity of plants (leaf… More >

  • Open Access

    ARTICLE

    YOLOv3 Attention Face Detector with High Accuracy and Efficiency

    Qiyuan Liu, Shuhua Lu*, Lingqiang Lan

    Computer Systems Science and Engineering, Vol.37, No.2, pp. 283-295, 2021, DOI:10.32604/csse.2021.014086

    Abstract In recent years, face detection has attracted much attention and achieved great progress due to its extensively practical applications in the field of face based computer vision. However, the tradeoff between accuracy and efficiency of the face detectors still needs to be further studied. In this paper, using Darknet-53 as backbone, we propose an improved YOLOv3-attention model by introducing attention mechanism and data augmentation to obtain the robust face detector with high accuracy and efficiency. The attention mechanism is introduced to enhance much higher discrimination of the deep features, and the trick of data augmentation is used in the training… More >

  • Open Access

    ARTICLE

    Green5G: Enhancing Capacity and Coverage in Device-to-Device Communication

    Abdul Rehman Javed1,*, Rabia Abid2, Bakhtawar Aslam2, Hafiza Ammara Khalid2, Mohammad Zubair Khan3, Omar H. Alhazmi3, Muhammad Rizwan2

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1933-1950, 2021, DOI:10.32604/cmc.2021.015272

    Abstract With the popularity of green computing and the huge usage of networks, there is an acute need for expansion of the 5G network. 5G is used where energy efficiency is the highest priority, and it can play a pinnacle role in helping every industry to hit sustainability. While in the 5G network, conventional performance guides, such as network capacity and coverage are still major issues and need improvements. Device to Device communication (D2D) communication technology plays an important role to improve the capacity and coverage of 5G technology using different techniques. The issue of energy utilization in the IoT based… More >

  • Open Access

    ARTICLE

    New Improved Ranked Set Sampling Designs with an Application to Real Data

    Amer Ibrahim Al-Omari1, Ibrahim M. Almanjahie2,3,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1503-1522, 2021, DOI:10.32604/cmc.2021.015047

    Abstract This article proposes two new Ranked Set Sampling (RSS) designs for estimating the population parameters: Simple Z Ranked Set Sampling (SZRSS) and Generalized Z Ranked Set Sampling (GZRSS). These designs provide unbiased estimators for the mean of symmetric distributions. It is shown that for non-uniform symmetric distributions, the estimators of the mean under the suggested designs are more efficient than those obtained by RSS, Simple Random Sampling (SRS), extreme RSS and truncation based RSS designs. Also, the proposed RSS schemes outperform other RSS schemes and provide more efficient estimates than their competitors under imperfect rankings. The suggested mean estimators under… More >

  • Open Access

    ARTICLE

    QI-BRiCE: Quality Index for Bleeding Regions in Capsule Endoscopy Videos

    Muhammad Arslan Usman1, Muhammad Rehan Usman2, Gandeva Bayu Satrya3, Muhammad Ashfaq Khan4, Christos Politis1, Nada Philip1, Soo Young Shin5,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1697-1712, 2021, DOI:10.32604/cmc.2021.014696

    Abstract With the advent in services such as telemedicine and telesurgery, provision of continuous quality monitoring for these services has become a challenge for the network operators. Quality standards for provision of such services are application specific as medical imagery is quite different than general purpose images and videos. This paper presents a novel full reference objective video quality metric that focuses on estimating the quality of wireless capsule endoscopy (WCE) videos containing bleeding regions. Bleeding regions in gastrointestinal tract have been focused in this research, as bleeding is one of the major reasons behind several diseases within the tract. The… More >

  • Open Access

    ARTICLE

    Energy Efficient Ambience Awake Routing with OpenFlow Approach

    Hima Bindu Valiveti1,*, SNV Ganesh2, Budati Anil Kumar1, Dileep Kumar Yadav3

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2049-2059, 2021, DOI:10.32604/cmc.2021.014690

    Abstract A major problem in networking has always been energy consumption. Battery life is one parameter which could help improve Energy Efficiency. Existing research on wireless networking stresses on reducing signaling messages or time required for data transfer for addressing energy consumption issues. Routing or Forwarding packets in a network between the network elements like routers, switches, wireless access points, etc., is complex in conventional networks. With the advent of Software Defined Networking (SDN) for 5G network architectures, the distributed networking has embarked onto centralized networking, wherein the SDN Controller is responsible for decision making. The controller pushes its decision onto… More >

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