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Electronics
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Applications of Embedded Systems, Volume II
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Applications of Embedded Systems, Volume II

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 4565

Special Issue Editor

Dr. Tullio Facchinetti

E-Mail Website
Guest Editor
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
Interests: real-time operating systems; embedded systems; energy efficiency; building automation; cyber-physical systems; autonomous robot navigation; Internet of Things; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Miniaturization and cost reduction have brought embedded systems to the core of the modern technological society, making them ubiquitous in almost every domain. The design, engineering, programming, deployment, and management of applications based on embedded systems require a broad range of approaches, methodologies, and techniques, which are often characteristics of each specific application domain. Embedded system applications are required to cope with limited resources (processing power, memory, energy), communication, and networking, both wired and wireless, interfacing with sensors and actuators, specific programming paradigms, and methodologies, which makes the development of an embedded application a challenging task.

The scope of this Special Issue encompasses the full stack of technologies behind modern embedded applications: design of embedded devices, development of software, integration within a larger system, deployment, and management.

This Special Issue welcomes contributions on novel and inspiring applications of embedded systems, including, but not limited to, the following domains:

  • Industrial Automation, Manufacturing
  • Robotics
  • Automotive
  • Appliance Automation (Household, Entertainment)
  • Healthcare
  • Wearable Systems
  • Energy Systems, Smart Grid, Home and Building Automation
  • Security, Surveillance
  • Smart Cities

Dr. Tullio Facchinetti
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • embedded systems
  • design
  • internet of things
  • distributed systems
  • protocols
  • power-aware computing
  • embedded operating systems
  • real-time systems
  • cyber-physical systems
  • wireless sensor networks
  • smart monitoring
  • mobile embedded systems
  • networked embedded systems
  • human–machine interfaces
  • human–system interaction
  • digital signal processing
  • fog/edge computing

Published Papers (2 papers)

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Research

19 pages, 1037 KiB  
Article
Ultra-Low Power Wireless Sensor Networks Based on Time Slotted Channel Hopping with Probabilistic Blacklisting
by Gianluca Cena, Stefano Scanzio and Adriano Valenzano
Electronics 2022, 11(3), 304; https://doi.org/10.3390/electronics11030304 - 19 Jan 2022
Cited by 9 | Viewed by 1302
Abstract
Devices in wireless sensor networks are typically powered by batteries, which must last as long as possible to reduce both the total cost of ownership and potentially pollutant wastes when disposed of. By lowering the duty cycle to the bare minimum, time slotted [...] Read more.
Devices in wireless sensor networks are typically powered by batteries, which must last as long as possible to reduce both the total cost of ownership and potentially pollutant wastes when disposed of. By lowering the duty cycle to the bare minimum, time slotted channel hopping manages to achieve very low power consumption, which makes it a very interesting option for saving energy, e.g., at the perception layer of the Internet of Things. In this paper, a mechanism based on probabilistic blacklisting is proposed for such networks, which permits to lower power consumption further. In particular, channels suffering from non-negligible disturbance may be skipped based on the perceived quality of communication so as to increase reliability and decrease the likelihood that retransmissions have to be performed. The only downside of this approach is that the transmission latency may grow, but this is mostly irrelevant for systems where the sampling rates are low enough. Full article
(This article belongs to the Special Issue Applications of Embedded Systems, Volume II)
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17 pages, 411 KiB  
Article
Adaptive Scheduling for Time-Triggered Network-on-Chip-Based Multi-Core Architecture Using Genetic Algorithm
by Pascal Muoka, Daniel Onwuchekwa and Roman Obermaisser
Electronics 2022, 11(1), 49; https://doi.org/10.3390/electronics11010049 - 24 Dec 2021
Cited by 7 | Viewed by 2698
Abstract
Adaptation in time-triggered systems can be motivated by energy efficiency, fault recovery, and changing environmental conditions. Adaptation in time-triggered systems is achieved by preserving temporal predictability through metascheduling techniques. Nevertheless, utilising existing metascheduling schemes for time-triggered network-on-chip architectures poses design time computation and [...] Read more.
Adaptation in time-triggered systems can be motivated by energy efficiency, fault recovery, and changing environmental conditions. Adaptation in time-triggered systems is achieved by preserving temporal predictability through metascheduling techniques. Nevertheless, utilising existing metascheduling schemes for time-triggered network-on-chip architectures poses design time computation and run-time storage challenges for adaptation using the resulting schedules. In this work, an algorithm for path reconvergence in a multi-schedule graph, enabled by a reconvergence horizon, is presented to manage the state-space explosion problem resulting from an increase in the number of scenarios required for adaptation. A meta-scheduler invokes a genetic algorithm to solve a new scheduling problem for each adaptation scenario, resulting in a multi-schedule graph. Finally, repeated nodes of the multi-schedule graph are merged, and further exploration of paths is terminated. The proposed algorithm is evaluated using various application model sizes and different horizon configurations. Results show up to 56% reduction of schedules necessary for adaptation to 10 context events, with the reconvergence horizon set to 50 time units. Furthermore, 10 jobs with 10 slack events and a horizon of 40 ticks result in a 23% average sleep time for energy savings. Furthermore, the results demonstrate the reduction in the state-space size while showing the trade-off between the size of the reconvergence horizon and the number of nodes of the multi-schedule graph. Full article
(This article belongs to the Special Issue Applications of Embedded Systems, Volume II)
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