Advances of Social Network and Application in IoT System

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 4843

Special Issue Editor

1. Research Center for Artificial Intelligence, Monash University, Melbourne, Clayton, VIC 3800, Australia
2. School of Computer Science and Engineering, Central South University, Changsha 410083, China
Interests: medical informatics; big data research; wireless network; decision-making system; machine learning; knowledge management; computational intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Social Networks in IoT system is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form.

The aim of this Special Issue is to gather the most recent innovations in social network that support 5G smart city, multi-cloud computing in IoT, edge computing and ad hoc research to cope with the ever-increasing challenges of the social network. We would like to invite researchers and practitioners from different disciplines and methodological backgrounds to discuss new ideas, research questions, recent results, and future challenges in this emerging area of research and public interest.

Prof. Dr. Jia Wu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • 5G smart city
  • multi-cloud computing in IoT
  • edge computing
  • ad hoc research

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 433 KiB  
Article
ISUC: IoT-Based Services for the User’s Comfort
by Rizwan Abbas, Gehad Abdullah Amran, Syed Agha Hassnain Mohsan, Mohammed H. Alsharif, Abu Jahid, Mohamed Marey and Hala Mostafa
Electronics 2022, 11(18), 2908; https://doi.org/10.3390/electronics11182908 - 14 Sep 2022
Viewed by 1722
Abstract
Emotions are alluded to as characteristic intuitive perspectives from certain conditions or temperaments. IoT applications can help in routine tasks and businesses. Most advances have not been taken advantage of regarding emotions. Emotions could be detected via the data gathered through IoT. Our [...] Read more.
Emotions are alluded to as characteristic intuitive perspectives from certain conditions or temperaments. IoT applications can help in routine tasks and businesses. Most advances have not been taken advantage of regarding emotions. Emotions could be detected via the data gathered through IoT. Our investigation of related works revealed an absence of strategic methodologies in planning IoT frameworks according to feelings and shrewd alteration rules; thus, we present a philosophy that can rapidly assist in planning an IoT framework in this situation, where the identification of users is significant. We applied the proposed phases to test an IoT recommender framework named ISUC. The framework involves anticipating a user’s future emotions by utilizing boundaries gathered from IoT gadgets. It suggests new exercises for the user to obtain the ‘last’ state. Experimental results confirm our recommended framework has achieved over 85% exactness in anticipating users’ emotions in the future. The examination results presumed that an IoT-based framework could be created to detect positive emotions (e.g., peace, concretism, patience, enjoyment, and comfort) and negative emotions (e.g., irritation, abstraction, impatience, displeasure, and discomfort) to incite good emotions. Full article
(This article belongs to the Special Issue Advances of Social Network and Application in IoT System)
Show Figures

Figure 1

20 pages, 5898 KiB  
Article
“Follower of the Reference Point”: Platform Utility-Oriented Incentive Mechanism in Crowdsensing
by Runze Peng, Wei Huang, Hucheng Xu, Mingyang Pi and Jiaqi Liu
Electronics 2022, 11(16), 2609; https://doi.org/10.3390/electronics11162609 - 20 Aug 2022
Viewed by 1032
Abstract
Crowdsensing uses the sensing units of many participants with idle resources to collect data. Since the budget of the platform is limited, it is crucial to design a mechanism to motivate participants to lower their bids. Current incentive mechanisms assume that participants’ gains [...] Read more.
Crowdsensing uses the sensing units of many participants with idle resources to collect data. Since the budget of the platform is limited, it is crucial to design a mechanism to motivate participants to lower their bids. Current incentive mechanisms assume that participants’ gains and losses are absolute, but behavioral economics shows that a certain reference point determines participants’ gains and losses. Reference dependence theory shows that the reference reward given by a platform and the reward obtained before will greatly affect the decision-making of the participant. Therefore, this paper proposes a participants’ decision-making mechanism based on the reference dependence theory. We set a reference point to reduce the participants’ bids, improving the platform’s utility. At the same time, risk preference reversal theory shows that participants evaluate the benefits based on the relative value of the rewards rather than the absolute value. Therefore, this paper proposes a winner selection mechanism based on the risk preference reversal theory. Theoretical analysis and simulations demonstrate that this paper’s incentive mechanism can guarantee the platform’s utility and improve the task completion rate. Full article
(This article belongs to the Special Issue Advances of Social Network and Application in IoT System)
Show Figures

Figure 1

21 pages, 1966 KiB  
Article
Application of IoT Quadrotor Dynamics Simulation
by Xinxi Lu and Zhihuan Xing
Electronics 2022, 11(4), 590; https://doi.org/10.3390/electronics11040590 - 15 Feb 2022
Cited by 3 | Viewed by 1379
Abstract
With the development of consumer-grade drone products, drones have been good carriers for many IoT (Internet of Things) applications, especially as a part of edge computing to deliver things, collect data, or monitor objects. This paper develops a Unity3D-based quadrotor dynamics simulation component [...] Read more.
With the development of consumer-grade drone products, drones have been good carriers for many IoT (Internet of Things) applications, especially as a part of edge computing to deliver things, collect data, or monitor objects. This paper develops a Unity3D-based quadrotor dynamics simulation component on the original platform. In order to complete the simulation, a force analysis is performed for the quadrotor to establish a physical model based on Newtonian mechanics and Euler angles, and a PID (Proportion Integral Differential)-based control model is developed based on this physical model, which performs a fixed-point control for the simulation. The component introduces weather impact factors into the physical model through an environmental computational model and presents weather effects to the user interface. In addition, we add a scene customization function and a multi-aircraft formation flight function to the original simulation, and optimize the interface presentation scheme for multi-aircraft formation flight. The quadrotor simulation model in this paper solves the problem that the original simulation system is not realistic enough and significantly improves the usability and stability of quadrotors working in the IoT area. Full article
(This article belongs to the Special Issue Advances of Social Network and Application in IoT System)
Show Figures

Figure 1

Back to TopTop