Title :
Improving the efficiency of highly predictable wireless sensor platforms with hybrid scheduling
Author :
Micea, Mihai V. ; Stangaciu, Cristina S. ; Stangaciu, Valentin ; Cretu, Vladimir I.
Author_Institution :
Comput. & Software Eng. Dept., Politeh. Univ. of Timisoara, Timisoara, Romania
Abstract :
We focus on increasing the execution efficiency and flexibility of fully predictable embedded platforms, with direct applications in wireless sensor networks. The proposed technique is a hybrid scheduling mechanism, which combines the high predictability of a non-preemptive cyclic scheduler with the efficiency of a modified version of the Earliest Deadline First algorithm. Implementation details on ARM7-based platforms are provided, along with a case study of real-time wireless communication driver for sensor networks. The experimental results prove that this method achieves the proposed goals: an increased execution efficiency and flexibility while preserving the required real-time predictability of the systems.
Keywords :
embedded systems; scheduling; wireless sensor networks; ARM7-based platform; earliest deadline first algorithm; execution efficiency; hybrid scheduling; nonpreemptive cyclic scheduler; predictable embedded platform; predictable wireless sensor platform; real-time wireless communication driver; Context; Kernel; Prediction algorithms; Processor scheduling; Real-time systems; Scheduling; Wireless communication; Hard real-time (HRT); hybrid scheduling; predictability; smart sensors; wireless communication;
Conference_Titel :
Robotic and Sensors Environments (ROSE), 2012 IEEE International Symposium on
Conference_Location :
Magdeburg
Print_ISBN :
978-1-4673-2705-3
DOI :
10.1109/ROSE.2012.6402613