IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing

IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing

The proliferation of the Internet of Things (IoT) has paved the way for the future of smart cities. The large volume of data over the IoT can enable decision-making for various applications such as smart transportation, smart parking, and smart lighting. The key to the success of smart cities is dat...

Full description

Bibliographic Details
Main Authors: Kun Wang, Zhibo Wang, Ye-Qiong Song, Dejun Yang, Shibo He, Wei Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Online Access:https://ieeexplore.ieee.org/document/9526279/
id doaj-2579a1b9e67d46e1a3e428e20969db3b
record_format Article
spelling doaj-2579a1b9e67d46e1a3e428e20969db3b2021-08-31T23:00:23ZengIEEEIEEE Access2169-35362021-01-01911860611860910.1109/ACCESS.2021.31067569526279IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on CrowdsensingKun Wang0Zhibo Wang1https://orcid.org/0000-0002-5804-3279Ye-Qiong Song2Dejun Yang3Shibo He4Wei Wang5Department of Electrical and Computer Engineering, University of California at Los Angeles, Los Angeles, CA, USASchool of Cyber Science and Technology, Zhejiang University, Hangzhou, ChinaDepartment of Computer Science, University of Lorraine, Vandoeuvre, FranceDepartment of Computer Science, Colorado School of Mines, Golden, CO, USACollege of Control Science and Engineering, Zhejiang University, Hangzhou, ChinaAmazon Inc., Seattle, WA, USAThe proliferation of the Internet of Things (IoT) has paved the way for the future of smart cities. The large volume of data over the IoT can enable decision-making for various applications such as smart transportation, smart parking, and smart lighting. The key to the success of smart cities is data collection and aggregation over the IoT. Recently, crowdsensing has become a new data collection paradigm over the IoT, which can realize large-scale and fine-grained data collection with low cost for various applications. For example, we can leverage the power of the crowd to build a real-time noise map with microphones on smartphones. Despite the advantages of crowdsensing and the IoT, there are many challenges to utilize crowdsensing over the IoT for smart cities, such as how to allocate tasks to appropriate users to provide high-quality sensing data, how to incentivize users to participate in crowdsourcing, how to detect the reliability of the crowdsourced data, and how to protect the privacy of users.https://ieeexplore.ieee.org/document/9526279/
collection DOAJ
language English
format Article
sources DOAJ
author Kun Wang
Zhibo Wang
Ye-Qiong Song
Dejun Yang
Shibo He
Wei Wang
spellingShingle Kun Wang
Zhibo Wang
Ye-Qiong Song
Dejun Yang
Shibo He
Wei Wang
IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing
IEEE Access
author_facet Kun Wang
Zhibo Wang
Ye-Qiong Song
Dejun Yang
Shibo He
Wei Wang
author_sort Kun Wang
title IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing
title_short IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing
title_full IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing
title_fullStr IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing
title_full_unstemmed IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing
title_sort ieee access special section editorial: toward smart cities with iot based on crowdsensing
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description The proliferation of the Internet of Things (IoT) has paved the way for the future of smart cities. The large volume of data over the IoT can enable decision-making for various applications such as smart transportation, smart parking, and smart lighting. The key to the success of smart cities is data collection and aggregation over the IoT. Recently, crowdsensing has become a new data collection paradigm over the IoT, which can realize large-scale and fine-grained data collection with low cost for various applications. For example, we can leverage the power of the crowd to build a real-time noise map with microphones on smartphones. Despite the advantages of crowdsensing and the IoT, there are many challenges to utilize crowdsensing over the IoT for smart cities, such as how to allocate tasks to appropriate users to provide high-quality sensing data, how to incentivize users to participate in crowdsourcing, how to detect the reliability of the crowdsourced data, and how to protect the privacy of users.
url https://ieeexplore.ieee.org/document/9526279/
work_keys_str_mv AT kunwang ieeeaccessspecialsectioneditorialtowardsmartcitieswithiotbasedoncrowdsensing
AT zhibowang ieeeaccessspecialsectioneditorialtowardsmartcitieswithiotbasedoncrowdsensing
AT yeqiongsong ieeeaccessspecialsectioneditorialtowardsmartcitieswithiotbasedoncrowdsensing
AT dejunyang ieeeaccessspecialsectioneditorialtowardsmartcitieswithiotbasedoncrowdsensing
AT shibohe ieeeaccessspecialsectioneditorialtowardsmartcitieswithiotbasedoncrowdsensing
AT weiwang ieeeaccessspecialsectioneditorialtowardsmartcitieswithiotbasedoncrowdsensing
_version_ 1721183149469204480

Similar Items