当前位置: X-MOL 学术IEEE Netw. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Task Assignment in Mobile Crowdsensing: Present and Future Directions
IEEE NETWORK ( IF 9.3 ) Pub Date : 2018-03-13 , DOI: 10.1109/mnet.2018.1700331
Wei Gong , Baoxian Zhang , Cheng Li

Mobile crowdsensing has wide application perspectives and tremendous advantages over traditional sensor networks due to its low cost, extensive coverage, and high sensing accuracy properties. Task assignment is a crucial issue in mobile crowdsensing systems which is intended to achieve a good tradeoff between task quality and task cost. The design of efficient task assignment mechanisms has attracted a lot of attention and much work has been carried out. In this article, we present a comprehensive survey of state-of-the-art task assignment mechanisms in mobile crowdsensing systems. We will first introduce several fundamental issues in task assignment and classify existing mechanisms based on different design criteria. Then we introduce how each of the existing mechanisms works and discuss their merits and deficiencies. Finally, we discuss challenging issues and point out some future directions in this area.

中文翻译:

移动人群感知中的任务分配:现在和将来的方向

与传统的传感器网络相比,移动式人群感知技术具有广泛的应用前景和巨大的优势,因为它的成本低,覆盖范围广,感测精度高。任务分配是移动人群感应系统中的关键问题,旨在实现任务质量和任务成本之间的良好折衷。有效的任务分配机制的设计引起了很多关注,并且已经进行了很多工作。在本文中,我们对移动人群感应系统中的最新任务分配机制进行了全面调查。我们将首先介绍任务分配中的几个基本问​​题,并根据不同的设计标准对现有机制进行分类。然后,我们介绍每种现有机制的工作方式,并讨论它们的优缺点。最后,
更新日期:2018-08-06
down
wechat
bug