@inproceedings{26ff424df5e54d0984f9778795ca251c,
title = "Poster: On Cost-Sensitive Task Allocation in Social Sensing: An Online Learning Approach",
abstract = "Social sensing has emerged as a new sensing paradigm where human sensors collectively report measurements about the physical world. This paper focuses on the cost-sensitive task allocation problem in social sensing where the goal is to effectively allocate sensing tasks to the human sensors to meet the desirable data quality requirement of the applications while minimizing the sensing cost. While recent progress has been made to tackle the cost-sensitive task allocation problem, an important challenge has not been well addressed, namely 'real time task allocation', the task allocation schemes need to respond quickly to the potential large dynamics of the measured variables in social sensing. To address this challenge, this paper presents a Cost-Sensitive Task Allocation (CSTA) scheme inspired by techniques from online learning. The preliminary results show that our new scheme significantly outperforms the-state-of-the-art baselines.",
keywords = "Online Learning, Social Sensing, Task Allocation",
author = "Yang Zhang and Dong Wang",
note = "ACKNOWLEDGEMENT This research is supported in part by the National Science Foundation under Grant No. CBET-1637251, CNS-1566465 and IIS-1447795 and Army Research Office under Grant W911NF-17-1-0409. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Office or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.; 14th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2018 ; Conference date: 18-06-2018 Through 19-06-2018",
year = "2018",
month = oct,
day = "25",
doi = "10.1109/DCOSS.2018.00024",
language = "English (US)",
series = "Proceedings - 14th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "115--116",
booktitle = "Proceedings - 14th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2018",
address = "United States",
}