Details of Research Outputs

TitleEfficient data collection in sensor-cloud system with multiple mobile sinks
Creator
Date Issued2016
Conference Name10th International Conference on Asia-Pacific Services Computing (APSCC)
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorWang, G; Han, Y; Perez, GM
ISBN978-331949177-6
ISSN0302-9743
Volume10065 LNCS
Pages130-143
Conference DateNOV 16-18, 2016
Conference PlaceZhangjiajie, China
Abstract

Cloud computing extends the data processing ability and storage ability of wireless sensor networks (WSNs). However, due to the weak communication ability of WSNs, how to upload the sensed data to the Cloud within the limited time becomes a bottleneck of sensor-cloud system. To solve this problem, we propose to use multiple mobile sinks to help with data uploading from WSNs to Cloud. An efficient algorithm is designed to schedule the multiple mobile sinks, with several provable properties. We conduct extensive simulations to evaluate the performance of proposed algorithm. The results show that our algorithm can upload the data from WSNs to Cloud within the limited latency and minimize the energy consumption as well.

KeywordEnergy Latency Multiple mobile sinks Sensor-cloud
DOI10.1007/978-3-319-49178-3_10
URLView source
Indexed ByCPCI-S
Language英语English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Theory & Methods
WOS IDWOS:000389690900010
Scopus ID2-s2.0-84996541764
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/7269
CollectionResearch outside affiliated institution
Corresponding AuthorWang, Tian
Affiliation
1.College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China
2.School of Computer Science and Educational Software, Guangzhou University, Guangzhou, 510006, China
3.School of Computer and Electronics Information, Guangxi University, Nanning, 530004, China
4.Shijiazhuang Kelin Electric Co., Ltd., Shijiazhuang, 050000, China
Recommended Citation
GB/T 7714
Li, Yang,Wang, Tian,Wang, Guojunet al. Efficient data collection in sensor-cloud system with multiple mobile sinks[C]//Wang, G; Han, Y; Perez, GM, 2016: 130-143.
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