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Sink-Convergence Cascading Model for Wireless Sensor Networks with Different Load-Redistribution Schemes
Joint Authors
Fu, Xiuwen
Yao, Haiqing
Yang, Yongsheng
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Existing cascading models are unable to depict the sink-convergence characteristic of WSNs (wireless sensor networks).
In this work, we build a more realistic cascading model for WSNs, in which two load-redistribution schemes (i.e., idle redistribution and even redistribution) are introduced.
In addition, failed nodes are allowed to recover after a certain time delay rather than being deleted from the network permanently.
Simulation results show that the network invulnerability is positively correlated to the tolerance coefficient and negatively correlated to the exponential coefficient.
Under the idle-redistribution scheme, the network can have stronger invulnerability against cascading failures.
The extension of the recovery time will exacerbate the fluctuation of the cascading process.
American Psychological Association (APA)
Fu, Xiuwen& Yao, Haiqing& Yang, Yongsheng. 2019. Sink-Convergence Cascading Model for Wireless Sensor Networks with Different Load-Redistribution Schemes. Complexity،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1132736
Modern Language Association (MLA)
Fu, Xiuwen…[et al.]. Sink-Convergence Cascading Model for Wireless Sensor Networks with Different Load-Redistribution Schemes. Complexity No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1132736
American Medical Association (AMA)
Fu, Xiuwen& Yao, Haiqing& Yang, Yongsheng. Sink-Convergence Cascading Model for Wireless Sensor Networks with Different Load-Redistribution Schemes. Complexity. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1132736
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132736