An optimal energy-saving real-time task-scheduling algorithm for mobile terminals

Ziran Peng and Guojun Wang

International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 5, 1550147717707891

Abstract: This article discusses the principles, mechanisms, and strategy of hard real-time task scheduling appropriate for mobile terminal equipment. Mobile terminals have timeliness requirements for completing hard real-time tasks and also clear energy-management requirements. Therefore, this study attempts to schedule tasks under these two constraints to achieve an optimal level of energy savings. First, terminal equipment operating time and standby time should meet the maximum requirements, and second, all tasks should meet the constraints of real-time parallel scheduling. We propose a scheduling strategy based on grouping according to the latest cut-off time, with each group adopting a dynamic optimization strategy to make scheduling decisions. The feasibility and validity of this algorithm are demonstrated through experiments and simulations.

Keywords: Mobile terminal; real-time task scheduling; earliest deadline first scheduling; optimal energy saving; step-by-step optimization strategy (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:5:p:1550147717707891

DOI: 10.1177/1550147717707891

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