Special Issue "Green IoT Networks using Machine Learning, Deep Learning Models"

Submission Deadline: 31 May 2021 (closed)
Guest Editors
Dr. Thippa Reddy Gadekallu, Vellore Institute of Technology, India.
Dr. Mamoun Alazab, Charles Darwin University, Australia.
Dr. Praveen Kumar Reddy M, Vellore Institute of Technology, India.


A green IoT energy-aware network plays an important role in sensing technology. IoT growth influences many applications such as e-health care, smart cities, vehicle systems, and industrial engineering in today's era. Some of the compromise solutions occur during the design and development of IoT-based applications such as security, resources, routing, node deployment, etc. The rapid increase in sensor nodes results in increased power consumption. Therefore, the reduction of environmental impact in green media networks is a crucial challenge for academic and industrial researchers. One of the IoT-based applications' problems is improving power efficiency and network longevity by miniature size, limited battery life, and dynamic motion of the sensor nodes in industrial applications. Energy optimization and resource management in these networks remain a challenge, Therefore for efficient power management and necessary optimization for IoT applications, Artificial Intelligence (AI), Deep Learning (DL) and other Neural Network (NN) based approaches will come up as a solution for green communication.

In addition, recent literature covered machine learning; deep learning algorithms can provide energy efficiency solutions, predictions on batteries, network monitoring, etc. This special issue seeks submissions of high-quality and unpublished articles to address the technical problems and challenges of green communications networks. In particular, we seek submissions that efficiently integrate new AI, DL approaches, focusing on the assessment of IoT ecosystem performance across existing green communication solutions. Theoretical and experimental studies for such scenarios are encouraged.

We solicit papers covering various topics of interest that include, but are not limited to, the following.

• Resource optimization in IoT applications.

• Machine learning approaches for green IoT.

• Quality of service in smart green communication networks for the IoT ecosystem.

• Architectures and models for smart green communication networks for IoT.

• Green communication network designs and implementations for IoT ecosystem.

• Innovative green communications technologies and protocols suitably designed for the IoT.

• Smart energy harvesting/charging and power management techniques using ML techniques.

• Energy-efficient sensing techniques.

• Experimental results and test-beds for smart green computing systems for IoT network models.

Internet of Things, Energy Efficiency, Green Internet of Things, Machine Learning, Deep Learning

Published Papers
  • An Efficient Internet Traffic Classification System Using Deep Learning for IoT
  • 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
  •   Views:868       Downloads:706        Download PDF

  • Development of PCCNN-Based Network Intrusion Detection System for EDGE Computing
  • 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
  •   Views:766       Downloads:590        Download PDF

  • Efficient Resource Allocation in Fog Computing Using QTCS Model
  • 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
  •   Views:913       Downloads:971        Download PDF

  • Measuring End-to-End Delay in Low Energy SDN IoT Platform
  • 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
  •   Views:964       Downloads:837        Download PDF

  • Addressing Economic Dispatch Problem with Multiple Fuels Using Oscillatory Particle Swarm Optimization
  • 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
  •   Views:803       Downloads:597       Cited by:1        Download PDF

  • RSS-Based Selective Clustering Technique Using Master Node for WSN
  • 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
  •   Views:852       Downloads:596        Download PDF

  • EA-RDSP: Energy Aware Rapidly Deployable Wireless Ad hoc System for Post Disaster Management
  • 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
  •   Views:1009       Downloads:848        Download PDF

  • Deep Neural Networks Based Approach for Battery Life Prediction
  • 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
  •   Views:1041       Downloads:1049       Cited by:7        Download PDF

  • Interference Mitigation in D2D Communication Underlying Cellular Networks: Towards Green Energy
  • 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
  •   Views:1914       Downloads:1324       Cited by:4        Download PDF

  • Multimodal Medical Image Registration and Fusion for Quality Enhancement
  • 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
  •   Views:1528       Downloads:1181       Cited by:4        Download PDF

  • Energy-Efficient Transmission Range Optimization Model for WSN-Based Internet of Things
  • 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
  •   Views:1283       Downloads:962       Cited by:2        Download PDF

  • A Novel Green IoT-Based Pay-As-You-Go Smart Parking System
  • 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
  •   Views:1437       Downloads:1458       Cited by:7        Download PDF

  • Position Vectors Based Efficient Indoor Positioning System
  • 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
  •   Views:1278       Downloads:985       Cited by:1        Download PDF

  • Green5G: Enhancing Capacity and Coverage in Device-to-Device Communication
  • 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
  •   Views:1712       Downloads:1174       Cited by:4        Download PDF