期刊
IEEE ACCESS
卷 7, 期 -, 页码 78406-78420出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2896226
关键词
Mobile crowdsensing (MCS); task allocation; wireless sensor networks (WSNs)
资金
- National Natural Science Foundation of China [2017YFB1002000, 61772136, 61672159, 61772005]
- Technology Innovation Platform Project of Fujian Province [2014H2005]
- Fujian Collaborative Innovation Center for Big Data Application in Governments
- Fujian Engineering Research Center of Big Data Analysis and Processing
Wireless sensor networks (WSNs) and mobile crowdsensing (MCS) are two important paradigms in urban dynamic sensing. In both sensing paradigms, task allocation is a significant problem, which may affect the completion quality of sensing tasks. In this paper, we give a survey of task allocation in WSNs and MCS from the contrastive perspectives in terms of data quality and sensing cost, which help to better understand related objectives and strategies. We first analyze the different characteristics of two sensing paradigms, which may lead to difference in task allocation issues or strategies. Then, we present some common issues in task allocation with objectives in data quality and sensing cost. Furthermore, we provide reviews of unique task allocation issues in MCS according to its new characteristics. Finally, we identify some potential opportunities for the future research.
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