Abstract | ||
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With the proliferation of increasingly powerful mobile devices and wireless networks, mobile crowdsourcing has emerged as a novel service paradigm. It enables crowd workers to take over outsourced location-dependent tasks, and has attracted much attention from both research communities and industries. In this paper, we consider a mobile crowdsourcing scenario, where a mobile crowdsourcing task is too complex (e.g., post-earthquake recovery, citywide package delivery) but can be divided into a number of easier subtasks, which have interdependency between them. Under this scenario, we investigate an important problem, namely
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">task graph scheduling in mobile crowdsourcing</i>
(TGS-MC), which seeks to optimize a compact scheduling, such that the task completion time (i.e., makespan) and overall idle time are simultaneously minimized with the consideration of worker reliability. We analyze the complexity and NP-complete of the TGS-MC problem, and propose two heuristic approaches, including BFS-based dynamic priority scheduling
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">BFSPriD</i>
algorithm, and an evolutionary multitasking-based
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">EMTTSch</i>
algorithm, to solve our problem from local and global optimization perspective, respectively. We conduct extensive evaluation using two real-world data sets, and demonstrate superiority of our proposed approaches. |
Year | DOI | Venue |
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2022 | 10.1109/TMC.2020.3040007 | IEEE Transactions on Mobile Computing |
Keywords | DocType | Volume |
Mobile crowdsourcing,task schedule,directed acyclic graph(DAG),makespan | Journal | 21 |
Issue | ISSN | Citations |
7 | 1536-1233 | 0 |
PageRank | References | Authors |
0.34 | 31 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Liang Wang | 1 | 0 | 1.01 |
Zhiwen Yu | 2 | 2753 | 220.67 |
Qi Han | 3 | 0 | 0.34 |
Dingqi Yang | 4 | 542 | 28.79 |
Shirui Pan | 5 | 820 | 69.37 |
Yuan Yao | 6 | 591 | 53.27 |
Daqing Zhang | 7 | 3619 | 217.31 |