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A Trusted Real-Time Scheduling Model for Wireless Sensor Networks
Joint Authors
Zhang, Weizhe
Song, Boyu
Bai, Enci
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Heterogeneous multicore and multiprocessor systems have been widely used for wireless sensor information processing, but system energy consumption has become an increasingly important issue.
To ensure the reliable and safe operation of sensor systems, the task scheduling success rate of heterogeneous platforms should be improved, and energy consumption should be reduced.
This work establishes a trusted task scheduling model for wireless sensor networks, proposes an energy consumption model, and adopts the ant colony algorithm and bee colony algorithm for the task scheduling of a real-time sensor node.
Experimental result shows that the genetic algorithm and ant colony algorithm can efficiently solve the energy consumption problem in the trusted task scheduling of a wireless sensor and that the performance of the bee colony algorithm is slightly inferior to that of the first two methods.
American Psychological Association (APA)
Zhang, Weizhe& Song, Boyu& Bai, Enci. 2016. A Trusted Real-Time Scheduling Model for Wireless Sensor Networks. Journal of Sensors،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110672
Modern Language Association (MLA)
Zhang, Weizhe…[et al.]. A Trusted Real-Time Scheduling Model for Wireless Sensor Networks. Journal of Sensors No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1110672
American Medical Association (AMA)
Zhang, Weizhe& Song, Boyu& Bai, Enci. A Trusted Real-Time Scheduling Model for Wireless Sensor Networks. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1110672
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110672