A Trusted Real-Time Scheduling Model for Wireless Sensor Networks
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 heterogeneou...
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| Veröffentlicht in: | Journal of sensors 2016-01, Vol.2016 (2016), p.1-8 |
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| container_title | Journal of sensors |
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| creator | Zhang, Weizhe Bai, Enci Song, Boyu |
| description | 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. |
| doi_str_mv | 10.1155/2016/8958170 |
| format | Article |
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| ispartof | Journal of sensors, 2016-01, Vol.2016 (2016), p.1-8 |
| issn | 1687-725X 1687-7268 |
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| source | Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Algorithms Energy consumption Real time Remote sensors Sensors Swarm intelligence Task scheduling Wireless networks |
| title | A Trusted Real-Time Scheduling Model for Wireless Sensor Networks |
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