Electronic System-Level HW/SW Co-Design of Power-Aware Embedded Systems

A special issue of Journal of Low Power Electronics and Applications (ISSN 2079-9268).

Deadline for manuscript submissions: closed (15 May 2019) | Viewed by 8350

Special Issue Editors


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Guest Editor
1. Department of Information Engineering, Computer Science and Mathematics, University of L’Aquila, 67100 L’Aquila, Italy
2. Center of Excellence DEWS, University of L’Aquila, 67100 L’Aquila, Italy
Interests: electronic design automation (with focus on ESL HW/SW co-design); networked embedded systems (with focus on wireless sensor networks)
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Guest Editor
Università degli Studi dell’Aquila – DISIM/DEWS, L’Aquila, Italy
Interests: system monitoring; real-time systems; edge-computing; hardware reconfiguration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Low-power and low-energy requirements in embedded systems are increasingly critical, because they are strongly related to battery duration and to life cycle of the final product. However, the exploitation of even more heterogeneous HW/SW platforms makes it even more difficult to deal with such issues at early stage of design phases, since power/energy features of a chip can be difficult to be properly considered without analysing its physical implementation (e.g., to consider issues like Dark Silicon). To partially solve such problems, recent research lines have highlighted the fact that a run-time support has to be considered, in order to deal with different scenarios: Considering for example a Cyber-Physical System, there can be different optimal points of work, depending on the environment. Thus, this should be also taken into consideration since the initial design-steps in order to have an optimal run-time manager that can serve requirements. For all such reasons, this Special Issues of JLPEA is focused on “Electronic System-Level (ESL) HW/SW Co-Design of Power-Aware Embedded Systems”, by considering methodologies, models, tools and design flows able to support the designer of power aware embedded systems both in terms of design-time and run-time.

The readers of this Special Issue will be able to familiarize themselves with the recent advances in the Electronic Design Automation domain oriented to ESL and power-aware applications. Original contributions from the following non-exhaustive list of topics are solicited:

  • Power-aware ESL HW/SW co-design of embedded systems
  • On-chip monitoring of embedded systems power and performance
  • Power-aware run-time management of HW/SW embedded systems resources
  • HW/SW support to power-aware deep learning in embedded systems
  • HW/SW support to power-aware management of memory hierarchies in embedded systems

Dr. Luigi Pomante
Dr. Giacomo Valente
Guest Editors

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Keywords

  • Electronic Design Automation
  • Electronic System-Level Design
  • HW/SW Co-Design
  • Embedded Systems
  • Low power
  • Run-time management

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Published Papers (1 paper)

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Research

25 pages, 6268 KiB  
Article
A New Approach for Optimizing Management of a Real Time Solar Charger Using the Firebase Platform Under Android
by Mohamed Redha Rezoug, Rachid Chenni and Djamel Taibi
J. Low Power Electron. Appl. 2019, 9(3), 23; https://doi.org/10.3390/jlpea9030023 - 16 Jul 2019
Cited by 5 | Viewed by 7902
Abstract
With the continuous growth of energy consumption, the rationalization of energy has become a priority. The photovoltaic energy sector remains a major occupation for researchers in the field of production optimization or storage methods. The concept developed in this work is a mixed [...] Read more.
With the continuous growth of energy consumption, the rationalization of energy has become a priority. The photovoltaic energy sector remains a major occupation for researchers in the field of production optimization or storage methods. The concept developed in this work is a mixed optimization approach for energy management during battery charging with a duty cycle. A selective collaborative algorithm intervenes to choose and use the appropriate results of the few techniques to optimize the charging time of a battery and estimate its state of charge by using the minimum possible tools. This is done using a collective database that is accessible in real time. It also effectively allows the synchronization of information between several customers. This approach is performed on a mobile application on android, through a Google Firebase platform that allows us to secure collaborative access between multiple customers and use the results of the calculations of some algorithms. It gives us the values obtained by the various sensors in real time to accelerate the charging speed of the battery. The validation of this approach led us to practice a few scenarios using an Arduino board to show that this approach has a better performance. Full article
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