Survey of Crowdsensing: Architecture, Classification and Security Challenges

International Journal of Electronics and Communication Engineering

© 2019 by SSRG - IJECE Journal

Volume 6 Issue 10

Year of Publication : 2019

Authors : Abdul Razaque

10.14445/23488549/IJECE-V6I10P101

How to Cite?

Abdul Razaque, "Survey of Crowdsensing: Architecture, Classification and Security Challenges," SSRG International Journal of Electronics and Communication Engineering, vol. 6,  no. 10, pp. 1-15, 2019. Crossref, https://doi.org/10.14445/23488549/IJECE-V6I10P101

Abstract:

With the rapid popularization of wireless mobile devices, mobile sensing and crowdsourcing are combined into a new technology called crowdsensing. Crowdsensing is an emerging technology that is used within a large group of applications having mobile devices equipped with embedded sensors. The researcher/industry still has a long way to fully investigate and show the big benefit of using crowdsensing in many life-critical applications. For example, using crowdsensing, a huge amount of data can be used for analysis when it is collectively extracted from different parts of the cloud. However, when developing crowdsensing techniques, a series of challenges and security problems have come to exist. This survey paper focuses on the challenges encountered when developing crowdsensing techniques for several applications. Mainly, the paper assesses the structure and basic classifications of crowdsensing, including platform, incentive mechanism, and typical applications and its applications and security issues of crowdsensing.

Keywords:

Crowdsensing architecture; Crowdsensing classifications, Crowdsensing security Challenges.

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