The best software engineering journals are peer reviewed journals. These provide high quality, meticulously reviewed and rapid publication, to cater the insistent need of scientific community. These journals are indexed with all their citations noted. The top open access journals are indexed in MEDLINE, PUBMED, SCOPUS, COPERNICUS, CAS, EBSCO and ISI. The introduction of energy harvesting functionalities into an embedded system such as wireless sensor network raises many design questions. The central one is how to smartly use harvesting abilities so as to optimize performance and lifetime of the system? How to dynamically adapt the processing activity and schedule the real-time jobs with deadline constraints so as to subsist perpetually on a given energy source? Researchers are currently striving to design scheduling techniques which adapt to requirements of real-time energy harvesting computing systems. This paper reports very recent results that prove that the well-known Earliest Deadline First scheduler still remains an efficient option for online scheduling in these new generation computing systems. Embedded systems can scavenge regenerative energy from human activity, ambient heat, light, radio, or vibrations. So-called Energy Harvesting (EH) is a technology that allows to capture otherwise unused energy and convert it into electrical energy. Electricity can be used immediately or later through an energy reservoir such as battery or super-capacitor. The EH approach extends the life of batteries and decreases maintenance. Real-Time Energy Harvesting (RTEH) systems encompass various application areas such as military, transport and medical ones. The system we target in this paper consists of a single processor unit and a rechargeable energy storage device in charge of executing a set of independent jobs with deadlines.
Last date updated on December, 2020