Home > Research > Publications & Outputs > A Survey of Task Allocation

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

A Survey of Task Allocation: Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing. / Guo, Wenzhong; Zhu, Weiping; Yu, Zhiyong et al.
In: IEEE Access, Vol. 7, 8660441, 27.06.2019, p. 78406-78420.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Guo W, Zhu W, Yu Z, Wang J, Guo B. A Survey of Task Allocation: Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing. IEEE Access. 2019 Jun 27;7:78406-78420. 8660441. Epub 2019 Mar 5. doi: 10.1109/ACCESS.2019.2896226

Author

Guo, Wenzhong ; Zhu, Weiping ; Yu, Zhiyong et al. / A Survey of Task Allocation : Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing. In: IEEE Access. 2019 ; Vol. 7. pp. 78406-78420.

Bibtex

@article{51b1b85e64794da69b384ed5c02b02f8,
title = "A Survey of Task Allocation: Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing",
abstract = "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.",
keywords = "Mobile crowdsensing (MCS), task allocation, wireless sensor networks (WSNs)",
author = "Wenzhong Guo and Weiping Zhu and Zhiyong Yu and Jiangtao Wang and Bin Guo",
year = "2019",
month = jun,
day = "27",
doi = "10.1109/ACCESS.2019.2896226",
language = "English",
volume = "7",
pages = "78406--78420",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

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 -