A Survey of Task Assignment on Spatial Crowdsourcing

PhD Qualifying Examination


Title: "A Survey of Task Assignment on Spatial Crowdsourcing"

by

Mr. Peng CHENG


Abstract:

Recently, with the rapid development of mobile devices and the crowdsourcing 
platforms, the spatial crowdsourcing has attracted much attention from the 
database community. Specifically,  spatial crowdsourcing refers to sending a 
location-based request to workers according to their positions, and workers 
need to physically move to specified locations to conduct tasks. Many works 
have studied task assignment problems in spatial crowdsourcing, however, their 
problem definitions are quite different from each other. As a result, there is 
no work to compare the performances of existing algorithms on task assignment 
in spatial crowdsourcing. In this survey, we present a comprehensive comparison 
of most existing algorithms on task assignment in spatial crowdsourcing. 
Specifically, we first give some general definitions about spatial workers and 
spatial tasks based on definitions in the existing works studying task 
assignment problems in spatial crowdsourcing such that the existing algorithms 
can be applied on the same synthetic and real data sets. Then, we introduce the 
existing algorithms on task assignment on spatial crowdsourcing in two 
different categories (e.g., server-assigned-tasks mode and 
worker-selected-tasks mode). Finally, we conclude the strengths and weaknesses 
of surveyed algorithms, which can guide further researches on the same area and 
practical implementations of spatial crowdsourcing systems. Finally, we discuss 
some possible future works on this hot topic.


Date:			Wednesday, 11 January 2017

Time:                  	3:00pm - 5:00pm

Venue:                  Room 3494
                         Lifts 25/26

Committee Members:	Prof. Lei Chen (Supervisor)
 			Dr. Xiaojuan Ma (Chairperson)
 			Dr. Qiong Luo
 			Dr. Yangqiu Song


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