Final published version
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A Survey of Task Allocation
T2 - Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing
AU - Guo, Wenzhong
AU - Zhu, Weiping
AU - Yu, Zhiyong
AU - Wang, Jiangtao
AU - Guo, Bin
PY - 2019/6/27
Y1 - 2019/6/27
N2 - 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.
AB - 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.
KW - Mobile crowdsensing (MCS)
KW - task allocation
KW - wireless sensor networks (WSNs)
U2 - 10.1109/ACCESS.2019.2896226
DO - 10.1109/ACCESS.2019.2896226
M3 - Journal article
AN - SCOPUS:85068207234
VL - 7
SP - 78406
EP - 78420
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
M1 - 8660441
ER -