Sensors 2012, 12(8), 11334-11359; doi:10.3390/s120811334
Article

Energy-Efficient Scheduling for Hybrid Tasks in Control Devices for the Internet of Things

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Received: 19 June 2012; in revised form: 1 August 2012 / Accepted: 6 August 2012 / Published: 17 August 2012
(This article belongs to the Special Issue Ubiquitous Sensing)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In control devices for the Internet of Things (IoT), energy is one of the critical restriction factors. Dynamic voltage scaling (DVS) has been proved to be an effective method for reducing the energy consumption of processors. This paper proposes an energy-efficient scheduling algorithm for IoT control devices with hard real-time control tasks (HRCTs) and soft real-time tasks (SRTs). The main contribution of this paper includes two parts. First, it builds the Hybrid tasks with multi-subtasks of different function Weight (HoW) task model for IoT control devices. HoW describes the structure of HRCTs and SRTs, and their properties, e.g., deadlines, execution time, preemption properties, and energy-saving goals, etc. Second, it presents the Hybrid Tasks’ Dynamic Voltage Scaling (HTDVS) algorithm. HTDVS first sets the slowdown factors of subtasks while meeting the different real-time requirements of HRCTs and SRTs, and then dynamically reclaims, reserves, and reuses the slack time of the subtasks to meet their ideal energy-saving goals. Experimental results show HTDVS can reduce energy consumption about 10%–80% while meeting the real-time requirements of HRCTs, HRCTs help to reduce the deadline miss ratio (DMR) of systems, and HTDVS has comparable performance with the greedy algorithm and is more favorable to keep the subtasks’ ideal speeds.
Keywords: IoT; control devices; hybrid tasks; DVS; slowdown factors; slack time
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MDPI and ACS Style

Gao, Z.; Wu, Y.; Dai, G.; Xia, H. Energy-Efficient Scheduling for Hybrid Tasks in Control Devices for the Internet of Things. Sensors 2012, 12, 11334-11359.

AMA Style

Gao Z, Wu Y, Dai G, Xia H. Energy-Efficient Scheduling for Hybrid Tasks in Control Devices for the Internet of Things. Sensors. 2012; 12(8):11334-11359.

Chicago/Turabian Style

Gao, Zhigang; Wu, Yifan; Dai, Guojun; Xia, Haixia. 2012. "Energy-Efficient Scheduling for Hybrid Tasks in Control Devices for the Internet of Things." Sensors 12, no. 8: 11334-11359.


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