Details of Research Outputs

Status已发表Published
TitleOptimizing the Coverage via the UAVs with Lower Costs for Information-Centric Internet of Things
Creator
Date Issued2019
Source PublicationIEEE Access
ISSN2169-3536
Volume7Pages:15292-15309
Abstract

The recent developments in the areas of the Internet of Things (IoTs) have provided a rapid growth in the epoch of the novel information-centric collections (IC-IoTs). In the IC-IoTs, expanding the ranges of information collections and reducing the costs are important issues for the information required platform. In the previous scenarios, the information is collected in a random manner, which leads to lower coverages and higher costs. Thus, a 'optimizing the coverage via the unmanned aerial vehicles (UAVs) with lower costs for information-centric Internet of Things' (OCLC-IoTs) approach is established, which targets to improve the coverage ratio and to reduce the costs of the information-required platform via the cooperation of the information collectors and the UAVs. First, to improve the coverage ratio, an intensive strategy is proposed to inspire the information collectors to bid for the tasks published by the platform and an improved rolling horizon strategy (IRHS) strategy is designed to plan the flying routes of the UAVs to reach more coverage ranges. Then, to reduce the costs factor, the IRHS strategy is designed to shorten the flying routes of the UAVs under the prerequisite of guaranteeing coverage ratio to achieve fewers costs. Finally, a comprehensive theoretical analysis and experiments are provided, which indicates the advancements of the OCLC-IoTs scheme. Compared with the previous studies, the OCLC-IoTs scheme can improve the coverage ratio of information by 21.42% approximately and can reduce the cost ratio by 13.335% to 34.32%.

Keywordcosts Coverage information-centric Internet of Things unmanned aerial vehicle
DOI10.1109/ACCESS.2019.2894172
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000458927200001
Scopus ID2-s2.0-85061695552
Citation statistics
Cited Times:50[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/7162
CollectionResearch outside affiliated institution
Corresponding AuthorLiu, Anfeng
Affiliation
1.School of Information Science and Engineering, Central South University, Changsha, 410083, China
2.Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, 050-8585, Japan
3.College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China
4.School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China
5.Department of Network Engineering, School of Computer, National University of Defense Technology, Changsha, 410073, China
Recommended Citation
GB/T 7714
Li, Ting,Ota, Kaoru,Wang, Tianet al. Optimizing the Coverage via the UAVs with Lower Costs for Information-Centric Internet of Things[J]. IEEE Access, 2019, 7: 15292-15309.
APA Li, Ting, Ota, Kaoru, Wang, Tian, Li, Xiong, Cai, Zhiping, & Liu, Anfeng. (2019). Optimizing the Coverage via the UAVs with Lower Costs for Information-Centric Internet of Things. IEEE Access, 7, 15292-15309.
MLA Li, Ting,et al."Optimizing the Coverage via the UAVs with Lower Costs for Information-Centric Internet of Things". IEEE Access 7(2019): 15292-15309.
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Li, Ting]'s Articles
[Ota, Kaoru]'s Articles
[Wang, Tian]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Ting]'s Articles
[Ota, Kaoru]'s Articles
[Wang, Tian]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Ting]'s Articles
[Ota, Kaoru]'s Articles
[Wang, Tian]'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.