Optimized Reputable Sensing Participants Extraction for Participatory Sensor Networks
Joint Authors
Yuan, Weiwei
Guan, Donghai
Jin, Yuanfeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
By collecting data via sensors embedded personal smart devices, sensing participants play a key role in participatory sensor networks.
Using information provided by reputable sensing participants ensures the reliability of participatory sensing data.
Setting a threshold for the reputation, and those whose reputations are bigger than this value are regarded as reputable.
The bigger the threshold value is, the more reliable the extracted reputable sensing participant is.
However, if the threshold value is too big, only very limited participatory sensing data can be involved.
This may cause unexpected bias in information collection.
Existing works did not consider the relationship between the reliability of extracted reputable sensing participants and the ratio of usable participatory sensing data.
In this work, we propose a criterion for optimized reputable sensing participant extraction in participatory sensor networks.
This is achieved based on the mathematical analysis on the ratio of available participatory sensing data and the reliability of extracted reputable sensing participants.
Our suggested threshold value for reputable sensing participant extraction is only related to the power of sensing participant’s reputation distribution.
It is easy to be applied in real applications.
Simulation results tested on real application data further verified the effectiveness of our proposed method.
American Psychological Association (APA)
Yuan, Weiwei& Guan, Donghai& Jin, Yuanfeng. 2014. Optimized Reputable Sensing Participants Extraction for Participatory Sensor Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1046535
Modern Language Association (MLA)
Yuan, Weiwei…[et al.]. Optimized Reputable Sensing Participants Extraction for Participatory Sensor Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1046535
American Medical Association (AMA)
Yuan, Weiwei& Guan, Donghai& Jin, Yuanfeng. Optimized Reputable Sensing Participants Extraction for Participatory Sensor Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1046535
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046535