Wireless Communications and Mobile Computing

AI and Cognitive Spectrum Management for Internet of Things in Smart Cities


Publishing date
01 Oct 2021
Status
Published
Submission deadline
28 May 2021

Lead Editor

1Dalian University of Technology, Dailan, China

2Durham University, Durham, UK

3California State University, San Bernardino, USA


AI and Cognitive Spectrum Management for Internet of Things in Smart Cities

Description

In the backdrop of ambitious efforts by most countries in embracing smart cities to reinvent and enhance every aspect of their social and economic activities, Internet of Things (IoT) and Artificial Intelligence (AI) technologies are two important enabling technologies which are aggressively and innovatively exploited and adopted to achieve the following objectives: automation, data-centric decision making, disrupting existing operating models and enhanced efficiency.

In a typical smart city implementation, IoT devices are connected via wireless networks to a city control centre, where sensing data from IoT devices are input to support some AI-enabled decision making process, which in turn will lead to timely responses to meet the operational needs of the people. The AI-enabled IoT applications in smart cities create many scientific and engineering challenges. This is especially challenging for the case of mobile IoT devices which may intelligently adapt to multiple heterogeneous wireless urban networks around the city. In addition, when massive numbers of wireless IoT devices are being deployed, cognitive spectrum management is critical to satisfy the explosive broadband requirements of IoT applications. The cognitive capability of IoT devices to detect and sense complicated spectrum and network circumstances is significant and deserves deeper investigation by the research community. Such attributes of smart cities call for a deep fusion of AI, cognitive spectrum management and IoT technology.

The aim of this Special Issue is to collate original research with a focus on how IoT and AI technologies work together to realise the intelligence of smart cities. Review articles discussing the current state of the art are also welcomed.

Potential topics include but are not limited to the following:

  • AI-enabled smart city architecture and modelling
  • AI and deep learning approaches for IoT in smart cities
  • Intelligent sensing for IoT in smart cities
  • Cognitive spectrum management for IoT in smart cities
  • Cognitive spectrum access for IoT in smart cities
  • Cognitive security for IoT in smart cities
  • Machine learning and cognitive computing for IoT in smart cities
  • Intelligent positioning for IoT in smart cities
  • Collaborative AI-enabled IoT operation and maintenance in smart cities
  • Novel network and communication protocol for AI-enabled IoT

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 4897698
  • - Research Article

Swarm and Location-Based QoS Routing Algorithm in MEO/LEO Double-Layered Satellite Networks

Mingchuan Yang | Xinye Shao | ... | Yingzhe Dou
  • Special Issue
  • - Volume 2022
  • - Article ID 8206660
  • - Research Article

User Capacity Analysis of Space-Based Internet of Things with Multibeam Techniques

Zhenhua Zhang | Siyue Sun | ... | Jinpei Yu
  • Special Issue
  • - Volume 2022
  • - Article ID 3646960
  • - Research Article

CLASRM: A Lightweight and Secure Certificateless Aggregate Signature Scheme with Revocation Mechanism for 5G-Enabled Vehicular Networks

Zhihua Wang | Haofan Wang | ... | Xiaolong Yang
  • Special Issue
  • - Volume 2022
  • - Article ID 9526532
  • - Research Article

Indoor Localization with a Single Access Point Based on TDoA and AoA

Zhian Deng | Junchao Wu | ... | Ming Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 1548142
  • - Research Article

A Novel Multitask Scheduling and Distributed Collaborative Computing Method of Edge Nodes in the Internet of Things

Yong Wang | Siyu Tang | ... | Yonghua Xie
  • Special Issue
  • - Volume 2021
  • - Article ID 3410741
  • - Research Article

Experimental Research on Narrowband Interference Suppression of GNSS Signals

Bin Wang | Yanjing Sun | ... | Song Li
  • Special Issue
  • - Volume 2021
  • - Article ID 5875797
  • - Research Article

A Polar Codes-Based Distributed UEP Scheme for the Internet of Things

Chen Cui | Shuang Wu | ... | Wei Xiang
  • Special Issue
  • - Volume 2021
  • - Article ID 5516086
  • - Research Article

Real-Time Task Allocation of Heterogeneous Unmanned Aerial Vehicles for Search and Prosecute Mission

Xiangping Bryce Zhai | Li Li | ... | Kai Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 4477596
  • - Research Article

A Survey on the AI and Spectrum Management for Cache-Enabled Internet of Things in Smart Cities

Liming Chen | Xiaoyun Kuang | ... | David Fan
  • Special Issue
  • - Volume 2021
  • - Article ID 2922359
  • - Research Article

Grouping-Based Channel Estimation and Tracking for Millimeter Wave Massive MIMO Systems

Rui Yin | Xin Zhou | ... | Yunlong Cai
Wireless Communications and Mobile Computing
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Acceptance rate11%
Submission to final decision151 days
Acceptance to publication66 days
CiteScore2.300
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