Abstract
Energy is a major concern in battery operated real time devices (e.g. sensor nodes situated in remote areas) as battery life is solely responsible for the functioning of such devices. For such systems to work continuously and successively a regular source of energy is required. The lifetime of such systems can be increased by reducing the energy consumption and increasing energy production. Dynamic Voltage Scaling (DVS) scheduling algorithms is an existing approach for minimizing energy consumption. Energy harvesting is used for energy production (as a source of energy) and Earliest Deadline First (EDF) is an existing traditional approach for task scheduling in real time systems. In this paper, we propose a real time task scheduling algorithm using both DVS and EDF with energy harvesting. The proposed approach is designed to reduce energy consumption and enhanced the system lifetime. Our experimental results show that the proposed approach increases the task feasibility and reduces the energy consumption to increase the system lifetime.
Highlights
As the technology trend is changing and enhancing very fast, real time systems are being used very extensively in a large number of systems
In real time energy harvesting systems, the feasibility of a task depends upon slack time and the slack time depends upon available energy
As the need for digital applications is increasing, there is a need for energy harvesting approach in most of the battery operated real time applications such as surveillance, military, health, forecasting, etc
Summary
As the technology trend is changing and enhancing very fast, real time systems are being used very extensively in a large number of systems. An unused ambient energy is converted into electrical energy which can be directly used by the system or stored in batteries for further use Using this approach we can increase the system's lifetime (Jejurikar and Gupta, 2002). The proposed algorithm focuses on enhancing lifetime of the real time system using energy harvesting as well as proper task scheduling using DVS. This scheduling provides an enormous amount of task execution in less span of time as compared to existing algorithms for the same. The aim is to design an algorithm for increasing the lifetime of a battery operated energy harvesting real time system. We designed an algorithm for minimizing power consumption in energy harvesting real time systems that results in the increase in its lifetime
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