A tutorial on the internet of things: from a heterogeneous network integration perspective

Xu, Kui; Qu, Yi; Yang, Kun

doi:10.1109/mnet.2016.7437031

Cited by 94 publications

(35 citation statements)

References 18 publications

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“…[16][17][18] The information collected by the perception layer can be uploaded to the microprocessor unit through the data serial port. Effective extraction and processing of information data is an important part of the implementation of the IoT technology.…”

Section: Central Centralized Control System Designmentioning

confidence: 99%

Retracted: Design and implementation of music teaching assistant platform based on Internet of Things

2019

Trans Emerging Tel Tech

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With the development of society, Internet of Things (IoT) technology has attracted more and more attention. This paper uses IoT technology to enhance the music teaching assistant platform. Firstly, through analyzing users' requirements for music teaching assistant platform, based on IoT technology, the assistant platform is analyzed, and the wireless information transmission system is established. Secondly, aiming at the consumption of router nodes, the consumption model of nodes is established. By analyzing the energy consumption and service life of router nodes, it is concluded that traditional IoT has great disadvantages. Then, an improved repair strategy of IoT is proposed according to immune algorithm. By comparing three kinds of wireless sensor networks, the improved repair strategy of IoT is better when the number of router nodes is more than 400. When it comes to saving energy, there are great advantages in quantity consumption. Finally, by simulating and analyzing the fault repair of router nodes, it is concluded that the number of effective router nodes in traditional IoT decreases the fastest with the number of simulated runs, followed by energy‐gathering IoT, and the lifetime of effective router nodes in IoT is the longest with the energy‐gathering improved by immune algorithm. This research mainly focuses on the energy consumption of router nodes in the perception layer of IoT, as well as the network immunity and repair mechanism of the system. It improves and designs the traditional music teaching assistant platform, which has certain practical significance.

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Section: Central Centralized Control System Designmentioning

confidence: 99%

Retracted: Design and implementation of music teaching assistant platform based on Internet of Things

2019

Trans Emerging Tel Tech

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“…The IoT interconnects large numbers of devices/objects to provide new applications that improve our quality of life. However, one of the important challenges faced by the IoT systems is the wide heterogeneity of devices, platforms, operating systems, and services that exist and might be used to create new applications [30]. As the IoT continues to grow, the need for services that work with multiple IoT applications will need to continue to increase to realize the promised efficiency gain of the IoT.…”

Section: Heterogeneitymentioning

confidence: 99%

Intelligence of Things: Opportunities & Challenges

Atlam

Walters

Wills

2018

2018 3rd Cloudification of the Internet of Things (CIoT)

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The Internet of Things (IoT) is a promising technology that can connect and communicate virtual and physical objects globally. It allows billions of devices to be connected and communicate with each other to share information that creates new application and services. These services result in improving our quality of life. On the other hand, Artificial Intelligence (AI) is applied in many fields of science. It aims to understand techniques that require an intelligent action and solve complex problems. Integrating IoT with AI will create a powerful technology that can solve many of IoT problems that relate to the huge amount of data created by different IoT devices. With the huge analytic capabilities of AI, IoT data can be analysed efficiently to extract meaningful information. In addition, AI can help IoT devices to interact with humans and other objects intelligently and make autonomous decisions. This paper provides an overview of the integration of the IoT with AI by highlighting the integration benefits and opportunities of AI in different IoT applications. Challenges standing in the way of successful convergence of IoT with AI are also discussed. We can conclude that the integration of AI with IoT will generate a robust technology that can help companies to avoid unplanned downtime, increase operating efficiency, and enable new IoT applications and services.

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“…Initial research works in the field of IoT mainly focus on the building management [17,18] and the related security as well as energy issues [19]. Building management includes many aspects, for example, traffic control, surveillance, energy management, and indoor environmental and air quality (IEAQ) control.…”

Section: Related Workmentioning

confidence: 99%

Energy Harvesting for Internet of Things with Heterogeneous Users

Wang

Liu

et al. 2017

Wireless Communications and Mobile Computing

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We study the energy harvesting problem in the Internet of Things with heterogeneous users, where there are three types of single-antenna users: ID users that only receive information, EH users that can only receive energy, and ID/EH users that receive information and energy simultaneously from a multiantenna base station via power splitting. We aim to maximize the minimum signal-to-interference-plus-noise ratio (SINR) of the ID users and ID/EH users by jointly designing the power allocation at the transmitter and the power splitting strategy at the ID/EH receivers under the maximum transmit power and the minimum energy harvesting constraints. Specifically, we first apply the semidefinite relaxation (SDR), zero-forcing (ZF), and maximum ratio transmission (MRT) techniques to solve the nonconvex problems. We then apply the zero-forcing dirty paper coding (ZF-DPC) technique to eliminate the multiuser interference and derive the closed-form optimal solution. Numerical results show that ZF-DPC provides higher achievable minimum SINR than SDR and ZF in most cases.

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A tutorial on the internet of things: from a heterogeneous network integration perspective

Cited by 94 publications

References 18 publications

Retracted: Design and implementation of music teaching assistant platform based on Internet of Things

Retracted: Design and implementation of music teaching assistant platform based on Internet of Things

Intelligence of Things: Opportunities & Challenges

Energy Harvesting for Internet of Things with Heterogeneous Users

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