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A Collaborative-Task Assignment Algorithm for Mobile Crowdsourcing in Opportunistic Networks | IEEE Conference Publication | IEEE Xplore

A Collaborative-Task Assignment Algorithm for Mobile Crowdsourcing in Opportunistic Networks


Abstract:

Mobile crowdsourcing outsources large-scale tasks to a crowd of mobile users. To efficiently perform such tasks, many studies on tasks assignment have been conducted. How...Show More

Abstract:

Mobile crowdsourcing outsources large-scale tasks to a crowd of mobile users. To efficiently perform such tasks, many studies on tasks assignment have been conducted. However, the existing task assignment algorithms assume that each task can be completed by single worker. In reality, there are many types of tasks, including disaster recovery, which must be processed by multiple workers. To tackle this issue, we first introduce the problem of collaborative-task assignment, where multiple workers must collaborate to perform each task. To the best of our knowledge, this paper is the first work that address such a problem. Then, we propose a collaborative-task assignment (CTA) algorithm to efficiently complete a set of collaborative tasks by minimizing the idle times of workers. The simulation results using the real mobility traces as well as random graphs demonstrate that the proposed CTA algorithm achieves its design goals.
Date of Conference: 20-24 May 2018
Date Added to IEEE Xplore: 30 July 2018
ISBN Information:
Electronic ISSN: 1938-1883
Conference Location: Kansas City, MO, USA

References

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