Mobile Crowdsourcing in Smart Cities: Technologies, Applications, and Future Challenges

Xiangjie Kong, Xiaoteng Liu, Behrouz Jedari, Menglin Li, Liangtian Wan, Feng Xia*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)

Abstract

Local administrations and governments aim at leveraging wireless communications and Internet of Things (IoT) technologies to manage the city infrastructures and enhance the public services in an efficient and sustainable manner. Furthermore, they strive to adopt smart and cost-effective mobile applications to deal with major urbanization problems, such as natural disasters, pollution, and traffic congestion. Mobile crowdsourcing (MCS) is known as a key emerging paradigm for enabling smart cities, which integrates the wisdom of dynamic crowds with mobile devices to provide decentralized ubiquitous services and applications. Using MCS solutions, residents (i.e., mobile carriers) play the role of active workers who generate a wealth of crowdsourced data to significantly promote the development of smart cities. In this paper, we present an overview of state-of-the-art technologies and applications of MCS in smart cities. First, we provide an overview of MCS in smart cities and highlight its major characteristics. Second, we introduce the general architecture of MCS and its enabling technologies. Third, we study novel applications of MCS in smart cities. Finally, we discuss several open problems and future research challenges in the context of MCS in smart cities.

Original languageEnglish
Article number8733838
Pages (from-to)8095-8113
Number of pages19
JournalIEEE Internet of Things Journal
Volume6
Issue number5
DOIs
Publication statusPublished - 1 Oct 2019
MoE publication typeA1 Journal article-refereed

Keywords

  • Cooperative computing
  • incentive mechanisms
  • Internet of Things (IoT)
  • mobile crowdsourcing (MCS)
  • mobility
  • resource sharing
  • smart cities
  • task scheduling

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