A Survey on Crowdsourcing Applications in Smart Cities

TL;DR

This survey reviews how mobile crowdsourcing is utilized across various domains in smart cities, highlighting current applications and future research directions in the context of IoT-enabled urban environments.

Contribution

It systematically categorizes and analyzes smart city applications of mobile crowdsourcing, providing a comprehensive overview of current practices and future challenges.

Findings

Crowdsourcing is widely used in environmental monitoring, urban life, and transportation.

The survey identifies key challenges and opportunities in deploying crowdsourcing in smart cities.

Future research directions include improving data quality and integrating AI for better urban management.

Abstract

With the emergence of the Internet of things (IoT), human life is now progressing towards smartification faster than ever before. Thus, smart cities become automated in different aspects such as business, education, economy, medicine, and urban areas. Since smartification requires a variety of dynamic information in different urban dimensions, mobile crowdsourcing has gained importance in smart cities. This chapter systematically reviews the related applications of smart cities that use mobile crowdsourcing for data acquisition. For this purpose, the applications are classified as environmental, urban life, and transportation categories and then investigated in detail. This survey helps in understanding the current situation of smart cities from the viewpoint of crowdsourcing and discusses the future research directions in this field.