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

IEEE Access

Zhiyong Yu¹  Weiping Zhu¹  Wenzhong Guo¹  Bin Guo²  Jiangtao Wang³ 

[1] College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China;School of Computer Science, Northwestern Polytechnical University, Xi&x2019;School of Electronics and Computer Science, Peking University, Beijing, China;

关键词: Mobile crowdsensing (MCS);    task allocation;    wireless sensor networks (WSNs);   

DOI  :  10.1109/ACCESS.2019.2896226

来源: DOAJ

【 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.

【 授权许可】

Unknown