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  • Open AccessOpen Access

    REVIEW

    A Review about Wireless Sensor Networks and the Internet of Things

    Amarjit Singh*
    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 as well. More >

  • Open AccessOpen Access

    ARTICLE

    Application of Internet of Things Technology in Enterprise Marketing Management Innovation

    Huan Xu1, Sixuan Chen2,*
    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 forward the necessity of the… More >

  • Open AccessOpen Access

    ARTICLE

    Generation and Simulation of Basic Maneuver Action Library for 6-DOF Aircraft by Reinforcement Learning

    Jinlin Wang1, Jitao Teng3, Yang He1, Hongyu Yang1,*, Yulong Ji2,*, Zhikun Tang4, Ningwei Bai5
    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 establishment of aircraft basic motion… More >

  • Open AccessOpen Access

    ARTICLE

    Intrusion Detection Method Based on Active Incremental Learning in Industrial Internet of Things Environment

    Zeyong Sun1, Guo Ran2, Zilong Jin1,3,*
    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 the adaptive capability to solve… More >

  • Open AccessOpen Access

    ARTICLE

    A Network Traffic Prediction Algorithm Based on Prophet-EALSTM-GPR

    Guoqing Xu1, Changsen Xia1, Jun Qian1, Guo Ran3, Zilong Jin1,2,*
    Journal on Internet of Things, Vol.4, No.2, pp. 113-125, 2022, DOI:10.32604/jiot.2022.036066
    Abstract Huge networks and increasing network traffic will consume more and more resources. It is critical to predict network traffic accurately and timely for network planning, and resource allocation, etc. In this paper, a combined network traffic prediction model is proposed, which is based on Prophet, evolutionary attention-based LSTM (EALSTM) network, and Gaussian process regression (GPR). According to the non-smooth, sudden, periodic, and long correlation characteristics of network traffic, the prediction procedure is divided into three steps to predict network traffic accurately. In the first step, the Prophet model decomposes network traffic data into periodic and non-periodic parts. The periodic term… More >

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