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| Content Provider | Springer Nature Link |
|---|---|
| Author | Deng, Dingxiong Shahabi, Cyrus Demiryurek, Ugur Zhu, Linhong |
| Copyright Year | 2016 |
| Abstract | With the progress of mobile devices and wireless broadband, a new eMarket platform, termed spatial crowdsourcing is emerging, which enables workers (aka crowd) to perform a set of spatial tasks (i.e., tasks related to a geographical location and time) posted by a requester. In this paper, we study a version of the spatial crowdsourcing problem in which the workers autonomously select their tasks, called the worker selected tasks (WST) mode. Towards this end, given a worker, and a set of tasks each of which is associated with a location and an expiration time, we aim to find a schedule for the worker that maximizes the number of performed tasks. We first prove that this problem is NP-hard. Subsequently, for small number of tasks, we propose two exact algorithms based on dynamic programming and branch-and-bound strategies. Since the exact algorithms cannot scale for large number of tasks and/or limited amount of resources on mobile platforms, we propose different approximation algorithms. Finally, to strike a compromise between efficiency and accuracy, we present a progressive algorithms. We conducted a thorough experimental evaluation with both real-world and synthetic data on desktop and mobile platforms to compare the performance and accuracy of our proposed approaches. |
| Starting Page | 529 |
| Ending Page | 568 |
| Page Count | 40 |
| File Format | |
| ISSN | 13846175 |
| Journal | GeoInformatica |
| Volume Number | 20 |
| Issue Number | 3 |
| e-ISSN | 15737624 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2016-03-31 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Crowdsourcing Spatial crowdsourcing Spatial task assignment Geographical Information Systems/Cartography Data Structures, Cryptology and Information Theory Computer Science Information Storage and Retrieval Multimedia Information Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development Information Systems |
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