About the Journal
This Journal publishes papers related to all aspects of Internet of Things, from latest advance to review articles. Articles explore IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Investigations related to topical areas of research are especially encouraged, including IoT demands, impacts, and implications on sensors technologies, big data management, and future design for various IoT use cases, such as smart cities, smart environment, smart homes, etc.
Indexing and Abstracting
Starting from July 2023, Journal on Internet of Things will transition to a continuous publication model, accepted articles will be promptly published online upon completion of the peer review and production processes.
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Open Access
ARTICLE
Human Intelligent-Things Interaction Application Using 6G and Deep Edge Learning
Journal on Internet of Things, Vol.6, pp. 43-73, 2024, DOI:10.32604/jiot.2024.052325 - 10 September 2024
Abstract Impressive advancements and novel techniques have been witnessed in AI-based Human Intelligent-Things Interaction (HITI) systems. Several technological breakthroughs have contributed to HITI, such as Internet of Things (IoT), deep and edge learning for deducing intelligence, and 6G for ultra-fast and ultralow-latency communication between cyber-physical HITI systems. However, human-AI teaming presents several challenges that are yet to be addressed, despite the many advancements that have been made towards human-AI teaming. Allowing human stakeholders to understand AI’s decision-making process is a novel challenge. Artificial Intelligence (AI) needs to adopt diversified human understandable features, such as ethics, non-biases,… More >
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Open Access
ARTICLE
Mean Field-Based Dynamic Backoff Optimization for MIMO-Enabled Grant-Free NOMA in Massive IoT Networks
Journal on Internet of Things, Vol.6, pp. 17-41, 2024, DOI:10.32604/jiot.2024.054791 - 26 August 2024
Abstract In the 6G Internet of Things (IoT) paradigm, unprecedented challenges will be raised to provide massive connectivity, ultra-low latency, and energy efficiency for ultra-dense IoT devices. To address these challenges, we explore the non-orthogonal multiple access (NOMA) based grant-free random access (GFRA) schemes in the cellular uplink to support massive IoT devices with high spectrum efficiency and low access latency. In particular, we focus on optimizing the backoff strategy of each device when transmitting time-sensitive data samples to a multiple-input multiple-output (MIMO)-enabled base station subject to energy constraints. To cope with the dynamic varied channel… More >
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Open Access
ARTICLE
Research on Robustness of Charging Station Networks under Multiple Recommended Charging Methods for Electric Vehicles
Journal on Internet of Things, Vol.6, pp. 1-16, 2024, DOI:10.32604/jiot.2024.053584 - 24 July 2024
Abstract With the rapid development of electric vehicles, the requirements for charging stations are getting higher and higher.
In this study, we constructed a charging station topology network in Nanjing through the Space-L method, mapping
charging stations as network nodes and constructing edges through road relationships. The experiment introduced
five EV charging recommendation strategies (based on distance, number of fast charging piles, user preference,
price, and overall rating) used to simulate disordered charging caused by different user preferences, and the impact
of the network dynamic robustness in case of node failure is explored by simulating the… More >
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Open Access
ARTICLE
Internet of Things for in Home Health Based Monitoring System: Modern Advances, Challenges and Future Directions
Journal on Internet of Things, Vol.4, No.1, pp. 35-55, 2022, DOI:10.32604/jiot.2022.022256
Abstract IOT has carried out important function in converting the traditional fitness care corporation. With developing call for in population, traditional healthcare structures have reached their outmost functionality in presenting sufficient and as plenty as mark offerings. The worldwide is handling devastating developing antique population disaster and the right want for assisted-dwelling environments is turning into inevitable for senior citizens. There furthermore a determination by means of the use of way of countrywide healthcare organizations to increase crucial manual for individualized, right blanketed care to prevent and manipulate excessive coronial situations. Many tech orientated packages related… More >
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Open Access
ARTICLE
Lightweight Algorithm for MQTT Protocol to Enhance Power Consumption in Healthcare Environment
Journal on Internet of Things, Vol.4, No.1, pp. 21-33, 2022, DOI:10.32604/jiot.2022.019893
Abstract Internet of things (IoT) is used in various fields such as smart cities, smart home, manufacturing industries, and healthcare. Its application in healthcare has many advantages and disadvantages. One of its most common protocols is Message Queue Telemetry Transport (MQTT). MQTT protocol works as a publisher/subscriber which is suitable for IoT devices with limited power. One of the drawbacks of MQTT is that it is easy to manipulate. The default security provided by MQTT during user authentication, through username and password, does not provide any type of data encryption, to ensure confidentiality or integrity. This… More >
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Open Access
ARTICLE
HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks
Journal on Internet of Things, Vol.4, No.1, pp. 57-67, 2022, DOI:10.32604/jiot.2022.025327
Abstract The attention mechanism is one of the most important priori knowledge to enhance convolutional neural networks. Most attention mechanisms are bound to the convolutional layer and use local or global contextual information to recalibrate the input. This is a popular attention strategy design method. Global contextual information helps the network to consider the overall distribution, while local contextual information is more general. The contextual information makes the network pay attention to the mean or maximum value of a particular receptive field. Different from the most attention mechanism, this article proposes a novel attention mechanism with… More >
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Open Access
ARTICLE
FirmVulSeeker—BERT and Siamese Network-Based Vulnerability Search for Embedded Device Firmware Images
Journal on Internet of Things, Vol.4, No.1, pp. 1-20, 2022, DOI:10.32604/jiot.2022.019469
Abstract In recent years, with the development of the natural language processing (NLP) technologies, security analyst began to use NLP directly on assembly codes which were disassembled from binary executables in order to examine binary similarity, achieved great progress. However, we found that the existing frameworks often ignored the complex internal structure of instructions and didn’t fully consider the long-term dependencies of instructions. In this paper, we propose firmVulSeeker—a vulnerability search tool for embedded firmware images, based on BERT and Siamese network. It first builds a BERT MLM task to observe and learn the semantics of… More >
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Open Access
ARTICLE
Application of Internet of Things Technology in Enterprise Marketing Management Innovation
Journal on Internet of Things, Vol.4, No.2, pp. 75-84, 2022, DOI:10.32604/jiot.2022.030610
Abstract Marketing is a very important part of an enterprise. A rational and scientific marketing management can not only reduce the cost of enterprise sales, but also greatly improve the competitiveness of enterprises. The purpose of this paper is to study the innovative application of enterprise marketing management based on the Internet of Things technology. The most suitable competitive strategy of the company is put forward as the centralized strategy. And put forward the clear strategy implementation details, introduced the current situation and history of the Internet of things, and combined with the development status, put… More >
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Open Access
ARTICLE
Internet of Things Based Smart Irrigation System Using ESP WROOM 32
Journal on Internet of Things, Vol.5, pp. 45-55, 2023, DOI:10.32604/jiot.2023.043102
（This article belongs to the Special Issue: Monitoring of Smart Controlled Secure Applications using IoT and Deep Learning Techniques)
Abstract Farming has been the most prominent and fundamental activity for generations. As the population has been multiplying exponentially, the demand for agricultural yield is growing relentlessly. Such high demand in production through traditional farming methodologies often falls short in terms of efficiency due to the limitations of manual labour. In the era of digitization, smart agricultural solutions have been emerging through the windows of Internet of Things and Artificial Intelligence to improve resource management, optimize the process of farming and enhance the yield of crops, hence, ensuring sustainable growth of the increasing production. By implementing… More >
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Open Access
REVIEW
A Review about Wireless Sensor Networks and the Internet of Things
Journal on Internet of Things, Vol.4, No.2, pp. 69-73, 2022, DOI:10.32604/jiot.2022.026170
Abstract Wireless sensor networks (WSNs) are created and affect our daily lives. You can find applications in various fields such as health, accident, life, manufacturing, production management, network management and many other fields. WSN now connects to the Internet of Things, connects the sensor to the Internet, and then uses it for collaboration and collaboration. However, when WSN is part of the internet we need to be able to study and analyze related terms. In this article, we’re going to look at different ways to get WSN online and identify the challenges that address in future More >
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Open Access
ARTICLE
Generation and Simulation of Basic Maneuver Action Library for 6-DOF Aircraft by Reinforcement Learning
Journal on Internet of Things, Vol.4, No.2, pp. 85-98, 2022, DOI:10.32604/jiot.2022.031043
Abstract The development of modern air combat requires aircraft to have certain intelligent decision-making ability. In some of the existing solutions, the automatic control of aircraft is mostly composed of the upper mission decision and the lower control system. Although the underlying PID (Proportional Integral Derivative) based controller has a good performance in stable conditions, it lacks stability in complex environments. So, we need to design a new system for the problem of aircraft decision making. Studies have shown that the behavior of an aircraft can be viewed as a combination of several basic maneuvers. The More >
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Open Access
ARTICLE
A Detailed Study on IoT Platform for ECG Monitoring Using Transfer Learning
Journal on Internet of Things, Vol.4, No.3, pp. 127-140, 2022, DOI:10.32604/jiot.2022.037489
Abstract Internet of Things (IoT) technologies used in health have the potential to address systemic difficulties by offering tools for cost reduction while improving diagnostic and treatment efficiency. Numerous works on this subject focus on clarifying the constructs and interfaces between various components of an IoT platform, such as knowledge generation via smart sensors collecting biosignals from the human body and processing them via data mining and, in recent times, deep neural networks offered to host on cloud computing architecture. These approaches are intended to assist healthcare professionals in their daily activities. In this comparative research, More >
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Open Access
ARTICLE
Intrusion Detection Method Based on Active Incremental Learning in Industrial Internet of Things Environment
Journal on Internet of Things, Vol.4, No.2, pp. 99-111, 2022, DOI:10.32604/jiot.2022.037416
Abstract Intrusion detection is a hot field in the direction of network security. Classical intrusion detection systems are usually based on supervised machine learning models. These offline-trained models usually have better performance in the initial stages of system construction. However, due to the diversity and rapid development of intrusion techniques, the trained models are often difficult to detect new attacks. In addition, very little noisy data in the training process often has a considerable impact on the performance of the intrusion detection system. This paper proposes an intrusion detection system based on active incremental learning with… More >
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Open Access
ARTICLE
Multi-Classification Network for Identifying COVID-19 Cases Using Deep Convolutional Neural Networks
Journal on Internet of Things, Vol.3, No.2, pp. 39-51, 2021, DOI:10.32604/jiot.2021.014877
Abstract The novel coronavirus 2019 (COVID-19) rapidly spreading around
the world and turns into a pandemic situation, consequently, detecting the
coronavirus (COVID-19) affected patients are now the most critical task for
medical specialists. The deficiency of medical testing kits leading to huge
complexity in detecting COVID-19 patients worldwide, resulting in the number
of infected cases is expanding. Therefore, a significant study is necessary about
detecting COVID-19 patients using an automated diagnosis method, which
hinders the spreading of coronavirus. In this paper, the study suggests a Deep
Convolutional Neural Network-based multi-classification framework (COVMCNet) using eight different pre-trained… More >
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Open Access
ARTICLE
Security and Privacy in 5G Internet of Vehicles (IoV) Environment
Journal on Internet of Things, Vol.3, No.2, pp. 77-86, 2021, DOI:10.32604/jiot.2021.017943
Abstract Modern vehicles are equipped with sensors, communication, and
computation units that make them capable of providing monitoring services and
analysis of real-time traffic information to improve road safety. The main aim of
communication in vehicular networks is to achieve an autonomous driving
environment that is accident-free alongside increasing road use quality. However,
the demanding specifications such as high data rate, low latency, and high
reliability in vehicular networks make 5G an emerging solution for addressing
the current vehicular network challenges. In the 5G IoV environment, various
technologies and models are deployed, making the environment open More >
Copyright © 2024 The Author(s). Published by Tech Science Press.
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