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

Wenzhong Guo, Weiping Zhu, Zhiyong Yu, Jiangtao Wang, Bin Guo

Research output: Contribution to journalArticle

7 Citations (Scopus)
1 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)78406 - 78420
Number of pages15
JournalIEEE Access
Volume7
Early online date5 Mar 2019
DOIs
Publication statusPublished - 27 Jun 2019
Externally publishedYes

Bibliographical note

Open access journal

Keywords

  • Mobile crowdsensing (MCS)
  • task allocation
  • wireless sensor networks (WSNs)

Fingerprint Dive into the research topics of 'A Survey of Task Allocation: Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing'. Together they form a unique fingerprint.

  • Cite this