Wireless Communications and Mobile Computing

Innovative Artificial Intelligence-Based Internet of Things for Smart Cities and Smart Homes


Publishing date
01 Aug 2022
Status
Published
Submission deadline
25 Mar 2022

Lead Editor

1Fujian University of Technology, Fuzhou, China

2University of Salford, Salford, UK

3Suez Canal University, Ismailia, Egypt

4National Formosa University, Yunlin, Taiwan


Innovative Artificial Intelligence-Based Internet of Things for Smart Cities and Smart Homes

Description

The Internet of Things (IoT) consists of interconnected things with built-in and function-oriented sensors, essentially constituting a network of physical devices. These devices have the ability to gather measurement or observation data, and then communicate or exchange data with each other by communication networks. IoT systems can be applied in various fields to improve human life, especially applications for smarter cities or smarter homes.

However, basic IoT systems have been unable to meet the requirements of a modern smart city or smart home that features various and complex functionality with hybrid communication networks. Modern applications of IoT systems must be assisted by powerful artificial intelligence (AI) technology to process and analyze big data and deal with the problems of finding an optimal solution, making the best decision, detecting events, and identifying objects. Artificial intelligence simulates natural intelligence as exhibited by humans or animals and can make the system capable of performing tasks without the assistance of humans, and even perform tasks better than humans can. Modern AI technology usually utilizes evolutionary computation, nature-inspired algorithms, machine learning, or deep learning to solve the problems of optimization, decision making, event detection, and object identification. The integration of IoT systems and AI technology is very suitable for interconnected things to enhance intelligence, thus the artificial intelligence of things (AIoT), which enables the establishment of innovative IoT systems and applications for the modern smart city and smart home.

This Special Issue aims to solicit the submission of original research articles with a focus on challenging issues in the field of innovative AI-based IoT in smart cities and smart homes. Theoretical, experimental, and practical contributions containing innovative architectures, communications, algorithms, approaches, systems, or applications with new insights and findings are welcomed. Review articles which describe the current state of the art are especially welcomed.

Potential topics include but are not limited to the following:

  • Architecture of AI-based IoT for smart cities and smart homes
  • Wireless and mobile sensor networks in AI-based IoT for smart cities and smart homes
  • Communication protocols in AI-based IoT for smart cities and smart homes
  • Mobile or hybrid networking in AI-based IoT for smart cities and smart homes
  • Cloud, edge, fog, and dew computing in AI-based IoT for smart cities and smart homes
  • Computation intelligence algorithms in AI-based IoT for smart cities and smart homes
  • Machine learning and deep learning in AI-based IoT for smart cities and smart homes
  • 5G/6G technology-aided AI-based IoT for smart cities and smart homes
  • Location-aware systems (LAS) and location-based services (LBS) in AI-based IoT for smart cities and smart homes
  • Visual (image and video) systems in AI-based IoT for smart cities and smart homes
  • Security and privacy in AI-based IoT for smart cities and smart homes
  • City brain systems with AI-based IoT
  • Innovative applications and services for AI-based IoT for smart cities and smart homes

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9870345
  • - Editorial

Innovative Artificial Intelligence-Based Internet of Things for Smart Cities and Smart Homes

Tien-Wen Sung | Chao-Yang Lee | ... | Hamed Nassar
  • Special Issue
  • - Volume 2023
  • - Article ID 3939895
  • - Research Article

Industrial Internet of Things Intrusion Detection Method Using Machine Learning and Optimization Techniques

Tarek Gaber | Joseph B. Awotunde | ... | Esraa Eldesouky
  • Special Issue
  • - Volume 2022
  • - Article ID 7741535
  • - Research Article

Utilizing Artificial Intelligence and Lotus Effect in an Emerging Intelligent Drone for Persevering Solar Panel Efficiency

Faris A. Almalki | Amani A. Albraikan | ... | Obaid Ali
  • Special Issue
  • - Volume 2022
  • - Article ID 3655934
  • - Research Article

Performance Optimization of 3-DOF Application Scene Based on 360-Degree Panoramic Technology with Depth Information

Qinghua Wang | Linjuan Ma | ... | Fuquan Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 4213217
  • - Research Article

Artificial Intelligence of Things-Based Optimal Finite-Time Terminal Attractor and Its Application to Maximum Power Point Tracking of Photovoltaic Arrays in Smart Cities

En-Chih Chang | Chun-An Cheng | Rong-Ching Wu
  • Special Issue
  • - Volume 2022
  • - Article ID 2508174
  • - Research Article

A Study on the Optimization Simulation of Big Data Video Image Keyframes in Motion Models

Jianbang Guo | Peng Sun | Sang-Bing Tsai
  • Special Issue
  • - Volume 2022
  • - Article ID 2608798
  • - Research Article

Image Real-Time Detection Using LSE-Yolo Neural Network in Artificial Intelligence-Based Internet of Things for Smart Cities and Smart Homes

Zheng Zhi-Xian | Fuquan Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 9173291
  • - Research Article

MidSiot: A Multistage Intrusion Detection System for Internet of Things

Nguyen Dat-Thinh | Ho Xuan-Ninh | Le Kim-Hung
  • Special Issue
  • - Volume 2022
  • - Article ID 7437289
  • - Research Article

Real-Time 3D Pedestrian Tracking with Monocular Camera

Peng Xiao | Fei Yan | ... | Zhiliang Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 9639304
  • - Research Article

Gene Selection and Classification of scRNA-seq Data Combining Information Gain Ratio and Genetic Algorithm with Dynamic Crossover

Junhong Feng | Xishuan Niu | ... | Jian-Hong Wang
Wireless Communications and Mobile Computing
Publishing Collaboration
More info
Wiley Hindawi logo
 Journal metrics
See full report
Acceptance rate11%
Submission to final decision151 days
Acceptance to publication66 days
CiteScore2.300
Journal Citation Indicator-
Impact Factor-
 Submit Evaluate your manuscript with the free Manuscript Language Checker

We have begun to integrate the 200+ Hindawi journals into Wiley’s journal portfolio. You can find out more about how this benefits our journal communities on our FAQ.