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Research Article

BEST PAPER 2021

Green IoT Networks using Machine Learning, Deep Learning Models


Submission Deadline: 31 May 2021 (closed)

Abstract

This article has no abstract.

Keywords

Internet of Things, Energy Efficiency, Green Internet of Things, Machine Learning, Deep Learning
  • Research Article

    BEST PAPER 2021

    An Efficient Internet Traffic Classification System Using Deep Learning for IoT

    Muhammad Basit Umair1, Zeshan Iqbal1, Muhammad Bilal2, Jamel Nebhen4, Tarik Adnan Almohamad3, Raja Majid Mehmood5,* CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 407-422, 2022, DOI:10.32604/cmc.2022.020727
    Abstract Internet of Things (IoT) defines a network of devices connected to the internet and sharing a massive amount of data between each other and a central location. These IoT devices are connected to a network therefore prone to attacks. Various management tasks and network operations such as security, intrusion detection, Quality-of-Service provisioning, performance monitoring, resource provisioning, and traffic engineering require traffic classification. Due to the ineffectiveness of traditional classification schemes, such as port-based and payload-based methods, researchers proposed machine learning-based traffic classification systems based on shallow neural networks. Furthermore, machine learning-based models incline to misclassify internet traffic due to improper… More >

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  • Research Article

    BEST PAPER 2021

    Development of PCCNN-Based Network Intrusion Detection System for EDGE Computing

    Mohd Anul Haq, Mohd Abdul Rahim Khan*, Talal AL-Harbi CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1769-1788, 2022, DOI:10.32604/cmc.2022.018708
    Abstract Intrusion Detection System (IDS) plays a crucial role in detecting and identifying the DoS and DDoS type of attacks on IoT devices. However, anomaly-based techniques do not provide acceptable accuracy for efficacious intrusion detection. Also, we found many difficulty levels when applying IDS to IoT devices for identifying attempted attacks. Given this background, we designed a solution to detect intrusions using the Convolutional Neural Network (CNN) for Enhanced Data rates for GSM Evolution (EDGE) Computing. We created two separate categories to handle the attack and non-attack events in the system. The findings of this study indicate that this approach was… More >

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  • Research Article

    BEST PAPER 2021

    Efficient Resource Allocation in Fog Computing Using QTCS Model

    M. Iyapparaja1, Naif Khalaf Alshammari2,*, M. Sathish Kumar1, S. Siva Rama Krishnan1, Chiranji Lal Chowdhary1 CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2225-2239, 2022, DOI:10.32604/cmc.2022.015707
    Abstract Infrastructure of fog is a complex system due to the large number of heterogeneous resources that need to be shared. The embedded devices deployed with the Internet of Things (IoT) technology have increased since the past few years, and these devices generate huge amount of data. The devices in IoT can be remotely connected and might be placed in different locations which add to the network delay. Real time applications require high bandwidth with reduced latency to ensure Quality of Service (QoS). To achieve this, fog computing plays a vital role in processing the request locally with the nearest available… More >

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  • Research Article

    BEST PAPER 2021

    Measuring End-to-End Delay in Low Energy SDN IoT Platform

    Mykola Beshley1, Natalia Kryvinska2,*, Halyna Beshley1, Orest Kochan1, Leonard Barolli3 CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 19-41, 2022, DOI:10.32604/cmc.2022.018579
    Abstract In this paper, we developed a new customizable low energy Software Defined Networking (SDN) based Internet of Things (IoT) platform that can be reconfigured according to the requirements of the target IoT applications. Technically, the platform consists of a set of low cost and energy efficient single-board computers, which are interconnected within a network with the software defined configuration. The proposed SDN switch is deployed on Raspberry Pi 3 board using Open vSwitch (OvS) software, while the Floodlight controller is deployed on the Orange Pi Prime board. We firstly presented and implemented the method for measuring a delay introduced by… More >

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  • Research Article

    BEST PAPER 2021

    Addressing Economic Dispatch Problem with Multiple Fuels Using Oscillatory Particle Swarm Optimization

    Jagannath Paramguru1, Subrat Kumar Barik1, Ajit Kumar Barisal2, Gaurav Dhiman3, Rutvij H. Jhaveri4, Mohammed Alkahtani5,6, Mustufa Haider Abidi5,* CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 2863-2882, 2021, DOI:10.32604/cmc.2021.016002
    Abstract Economic dispatch has a significant effect on optimal economical operation in the power systems in industrial revolution 4.0 in terms of considerable savings in revenue. Various non-linearity are added to make the fossil fuel-based power systems more practical. In order to achieve an accurate economical schedule, valve point loading effect, ramp rate constraints, and prohibited operating zones are being considered for realistic scenarios. In this paper, an improved, and modified version of conventional particle swarm optimization (PSO), called Oscillatory PSO (OPSO), is devised to provide a cheaper schedule with optimum cost. The conventional PSO is improved by deriving a mechanism… More >

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  • Research Article

    BEST PAPER 2021

    RSS-Based Selective Clustering Technique Using Master Node for WSN

    Vikram Rajpoot1, Vivek Tiwari2, Akash Saxena3, Prashant Chaturvedi4, Dharmendra Singh Rajput5, Mohammed Alkahtani6,7, Mustufa Haider Abidi7,* CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3917-3930, 2021, DOI:10.32604/cmc.2021.015826
    Abstract Wireless sensor networks (WSN) are designed to monitor the physical properties of the target area. The received signal strength (RSS) plays a significant role in reducing sensor node power consumption during data transmission. Proper utilization of RSS values with clustering is required to harvest the energy of each network node to prolong the network life span. This paper introduces the RSS-based energy-efficient selective clustering technique using a master node (RESCM) to improve energy utilization using a master node. The master node positioned at the center of the network area and base station (BS) is placed outside the network area. During… More >

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  • Research Article

    BEST PAPER 2021

    EA-RDSP: Energy Aware Rapidly Deployable Wireless Ad hoc System for Post Disaster Management

    Ajmal Khan1, Mubashir Mukhtar1, Farman Ullah1, Muhammad Bilal2, Kyung-Sup Kwak3,* CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1725-1746, 2021, DOI:10.32604/cmc.2021.017952
    Abstract In post disaster scenarios such as war zones floods and earthquakes, the cellular communication infrastructure can be lost or severely damaged. In such emergency situations, remaining in contact with other rescue response teams in order to provide inputs for both headquarters and disaster survivors becomes very necessary. Therefore, in this research work, a design, implementation and evaluation of energy aware rapidly deployable system named EA-RDSP is proposed. The proposed research work assists the early rescue workers and victims to transmit their location information towards the remotely located servers. In EA-RDSP, two algorithms are proposed i.e., Hop count Assignment (HCA) algorithm… More >

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  • Research Article

    BEST PAPER 2021

    Deep Neural Networks Based Approach for Battery Life Prediction

    Sweta Bhattacharya1, Praveen Kumar Reddy Maddikunta1, Iyapparaja Meenakshisundaram1, Thippa Reddy Gadekallu1, Sparsh Sharma2, Mohammed Alkahtani3, Mustufa Haider Abidi4,* CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2599-2615, 2021, DOI:10.32604/cmc.2021.016229
    Abstract The Internet of Things (IoT) and related applications have witnessed enormous growth since its inception. The diversity of connecting devices and relevant applications have enabled the use of IoT devices in every domain. Although the applicability of these applications are predominant, battery life remains to be a major challenge for IoT devices, wherein unreliability and shortened life would make an IoT application completely useless. In this work, an optimized deep neural networks based model is used to predict the battery life of the IoT systems. The present study uses the Chicago Park Beach dataset collected from the publicly available data… More >

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  • Research Article

    BEST PAPER 2021

    Interference Mitigation in D2D Communication Underlying Cellular Networks: Towards Green Energy

    Rana Zeeshan Ahamad1, Abdul Rehman Javed2,*, Shakir Mehmood3, Mohammad Zubair Khan4, Abdulfattah Noorwali5, Muhammad Rizwan6 CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 45-58, 2021, DOI:10.32604/cmc.2021.016082
    Abstract Device to Device (D2D) communication is emerging as a new participant promising technology in 5G cellular networks to promote green energy networks. D2D communication can improve communication delays, spectral efficiency, system capacity, data off-loading, and many other fruitful scenarios where D2D can be implemented. Nevertheless, induction of D2D communication in reuse mode with the conventional cellular network can cause severe interference issues, which can significantly degrade network performance. To reap all the benefits of induction of D2D communication with conventional cellular communication, it is imperative to minimize interference’s detrimental effects. Efficient power control can minimize the negative effects of interference… More >

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  • Research Article

    BEST PAPER 2021

    Multimodal Medical Image Registration and Fusion for Quality Enhancement

    Muhammad Adeel Azam1, Khan Bahadar Khan2,*, Muhammad Ahmad3, Manuel Mazzara4 CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 821-840, 2021, DOI:10.32604/cmc.2021.016131
    Abstract For the last two decades, physicians and clinical experts have used a single imaging modality to identify the normal and abnormal structure of the human body. However, most of the time, medical experts are unable to accurately analyze and examine the information from a single imaging modality due to the limited information. To overcome this problem, a multimodal approach is adopted to increase the qualitative and quantitative medical information which helps the doctors to easily diagnose diseases in their early stages. In the proposed method, a Multi-resolution Rigid Registration (MRR) technique is used for multimodal image registration while Discrete Wavelet… More >

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  • Research Article

    BEST PAPER 2021

    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 >

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  • Research Article

    BEST PAPER 2021

    A Novel Green IoT-Based Pay-As-You-Go Smart Parking System

    Andrea Sant1, Lalit Garg1,*, Peter Xuereb1, Chinmay Chakraborty2 CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3523-3544, 2021, DOI:10.32604/cmc.2021.015265
    Abstract The better management of resources and the potential improvement in traffic congestion via reducing the orbiting time for parking spaces is crucial in a smart city, particularly those with an uneven correlation between the increase in vehicles and infrastructure. This paper proposes and analyses a novel green IoT-based Pay-As-You-Go (PAYG) smart parking system by utilizing unused garage parking spaces. The article also presents an intelligent system that offers the most favorable prices to its users by matching private garages’ pricing portfolio with a garage’s current demand. Malta, the world’s fourth-most densely populated country, is considered as a case of a… More >

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  • Research Article

    BEST PAPER 2021

    Position Vectors Based Efficient Indoor Positioning System

    Ayesha Javed1, Mir Yasir Umair1,*, Alina Mirza1, Abdul Wakeel1, Fazli Subhan2, Wazir Zada Khan3 CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1781-1799, 2021, DOI:10.32604/cmc.2021.015229
    Abstract With the advent and advancements in the wireless technologies, Wi-Fi fingerprinting-based Indoor Positioning System (IPS) has become one of the most promising solutions for localization in indoor environments. Unlike the outdoor environment, the lack of line-of-sight propagation in an indoor environment keeps the interest of the researchers to develop efficient and precise positioning systems that can later be incorporated in numerous applications involving Internet of Things (IoTs) and green computing. In this paper, we have proposed a technique that combines the capabilities of multiple algorithms to overcome the complexities experienced indoors. Initially, in the database development phase, Motley Kennan propagation… More >

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  • Research Article

    BEST PAPER 2021

    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 >

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