Details of Research Outputs

Status已发表Published
TitleQuick Convex Hull-Based Rendezvous Planning for Delay-Harsh Mobile Data Gathering in Disjoint Sensor Networks
Creator
Date Issued2021-06-01
Source PublicationIEEE Transactions on Systems, Man, and Cybernetics: Systems
ISSN2168-2216
Volume51Issue:6Pages:3844-3854
Abstract

Sink mobility is a significant technique to improve the performance of wireless sensor networks (WSNs). Generally a mobile sink visits several rendezvous points (RPs), forming a trip tour for data collection. However, the low movement speeds of mobile sinks tend to incur serious data delivery delays. In this article, we propose a quick convex hull-based rendezvous planning (QCHBRP) scheme, which aims to not only achieve full connectivity for disjoint WSNs but also construct a shorter trip tour and minimize the data delivery latency accordingly. The trajectory formation of the mobile sink is based on a path skeleton, i.e., a near-convex hull, which is created by the quick determination of several special locations as RPs. The benefits of QCHBRP are threefold. First, it is especially designed for disjoint WSNs where sensor nodes are deployed in multiple isolated segments and the network connectivity is lost in advance. Second, it is suitable for delay-harsh applications which require short paths of the mobile sink. Third, it is of much lower computational complexity compared with existing methods. The extensive analysis and experiments validate the effectiveness and advantages of this new scheme in terms of connectivity cost and data delivery delay.

KeywordConnectivity data gathering delivery latency minimization mobile sink rendezvous planning wireless sensor networks (WSNs)
DOI10.1109/TSMC.2019.2938790
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Cybernetics
WOS IDWOS:000652103000046
Scopus ID2-s2.0-85106499015
Citation statistics
Cited Times:39[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/7039
CollectionResearch outside affiliated institution
Corresponding AuthorWang, Tian
Affiliation
1.College of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China
2.College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China
3.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China
4.School of Information Science and Engineering, Central South University, Changsha, 410083, China
5.School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, China
6.Key Laboratory of Autonomous Systems and Network Control,Ministry of Education, South China University of Technology, Guangzhou, 510641, China
Recommended Citation
GB/T 7714
Liu, Xuxun,Wang, Tian,Jia, Weijiaet al. Quick Convex Hull-Based Rendezvous Planning for Delay-Harsh Mobile Data Gathering in Disjoint Sensor Networks[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(6): 3844-3854.
APA Liu, Xuxun, Wang, Tian, Jia, Weijia, Liu, Anfeng, & Chi, Kaikai. (2021). Quick Convex Hull-Based Rendezvous Planning for Delay-Harsh Mobile Data Gathering in Disjoint Sensor Networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(6), 3844-3854.
MLA Liu, Xuxun,et al."Quick Convex Hull-Based Rendezvous Planning for Delay-Harsh Mobile Data Gathering in Disjoint Sensor Networks". IEEE Transactions on Systems, Man, and Cybernetics: Systems 51.6(2021): 3844-3854.
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Liu, Xuxun]'s Articles
[Wang, Tian]'s Articles
[Jia, Weijia]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Xuxun]'s Articles
[Wang, Tian]'s Articles
[Jia, Weijia]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Xuxun]'s Articles
[Wang, Tian]'s Articles
[Jia, Weijia]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.