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A Survey of Task Allocation: Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing

  • Wenzhong Guo
  • , Weiping Zhu
  • , Zhiyong Yu
  • , Jiangtao Wang
  • , Bin Guo
  • Fuzhou University
  • Ministry of Education of the People's Republic of China
  • Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing
  • Peking University

科研成果: 期刊稿件文章同行评审

53 引用 (Scopus)

摘要

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.

源语言英语
期刊论文编号8660441
页(从-至)78406-78420
页数15
期刊IEEE Access
7
DOI
出版状态已出版 - 2019

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