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.
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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 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
ARTICLE
A Novel IoT Architecture, Assessment of Threats and Their Classification with Machine Learning Solutions
Journal on Internet of Things, Vol.5, pp. 13-43, 2023, DOI:10.32604/jiot.2023.039391
Abstract The Internet of Things (IoT) will significantly impact our social and economic lives in the near future. Many Internet of Things (IoT) applications aim to automate multiple tasks so inactive physical objects can behave independently of others. IoT devices, however, are also vulnerable, mostly because they lack the essential built-in security to thwart attackers. It is essential to perform the necessary adjustments in the structure of the IoT systems in order to create an end-to-end secure IoT environment. As a result, the IoT designs that are now in use do not completely support all of… More >
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Open Access
ARTICLE
Suitability and Sustainability of Rainwater Quality Monitoring System in Cistern for Domestic Use
Journal on Internet of Things, Vol.5, pp. 1-11, 2023, DOI:10.32604/jiot.2023.040255
Abstract Rainwater harvesting (RWH) systems have been the source of domestic water for many years and still becoming essential in many communities of developing countries. However, due to various reasons, there are several sources of contamination in the rainwater cistern systems. Dissolved chemicals from the roofing, storage, and conveyance materials, together with the suspended particulate matter from the airborne, are examples of water contamination. In this work, the water quality monitoring system has been designed and implemented. Chemical and physical parameters of water samples were collected from three locations using a data acquisition (DAQ) system and 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
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 >
-
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
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 >
-
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
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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