OEDDBOS: An Efficient Data Distributing Strategy with Energy Saving in Sensor-Cloud Systems
Joint Authors
Zhao, Qifei
Lu, Yuting
Peng, Ying
Wang, Gaocai
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Sensor-cloud is a developing technology and popular paradigm for various applications.
It integrates wireless sensor into a cloud computing environment.
On the one hand, the cloud offers extensive data storage and analytical and processing capabilities not available in sensor nodes.
On the other hand, data distribution (such as time synchronization and configuration files) is always an important topic in such sensor-cloud systems, which leads to a rapid increase in energy consumption by sensors.
In this paper, we aim to reduce the energy consumption of data dissemination in sensor-cloud systems and study the optimization of energy consumption with time-varying channel quality when multiple nodes use the same channel to transmit data.
Suppose that there is a certain probability that the nodes send data for competing channel.
And then, they decide to distribute data in terms of channel quality for saving energy after getting the channel successfully whether or not.
Firstly, we construct the maximization problem of average energy efficiency for distributing data with delay demand.
Then, this maximization problem transferred an optimal stopping problem which generates the optimal stopping rule.
At last, the thresholds of the optimal transmission rate in each period are solved by using the optimal stopping theory, and the optimal energy efficiency for data distribution is achieved.
Simulation results indicate that the strategy proposed in this paper can to some extent improve average energy efficiency and delivery ratio and enhance energy optimization effect and network performance compared with other strategies.
American Psychological Association (APA)
Zhao, Qifei& Wang, Gaocai& Peng, Ying& Lu, Yuting. 2020. OEDDBOS: An Efficient Data Distributing Strategy with Energy Saving in Sensor-Cloud Systems. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1214417
Modern Language Association (MLA)
Zhao, Qifei…[et al.]. OEDDBOS: An Efficient Data Distributing Strategy with Energy Saving in Sensor-Cloud Systems. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1214417
American Medical Association (AMA)
Zhao, Qifei& Wang, Gaocai& Peng, Ying& Lu, Yuting. OEDDBOS: An Efficient Data Distributing Strategy with Energy Saving in Sensor-Cloud Systems. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1214417
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214417