Heterogeneous and Parallel Computing for Cyber Physical Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: closed (15 August 2023) | Viewed by 7136
Special Issue Editors
Interests: IoT; networking; cyber security; blockchain
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning and computer vision with applications to cybersecurity, biometrics, affect recognition, image and video processing, and perceptual-based audiovisual multimedia quality assessmentperceptual-based audiovisual multimedia quality assessment; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the years, researchers have made breakthrough developments in the fields of science and engineering. These developments have led to the increased usage of computational devices that escalate human interactions with the physical environment. One such development is cyber-physical systems, which are nothing but an extension of the Internet of Things (IoT). They blend both physical and computational capabilities such as control, computation, and communication for designing and developing hybrid electric vehicles, biomedical systems, space vehicles, autonomous cars, prostheses, etc. Physical systems are designed using simulation and tuning methods that address disturbance and uncertainty. The cyber-physical system acts as a platform amalgamating information systems and networked services in a virtual environment. This system also collects a huge amount of data to solve problems while building well organized social networking systems. However, the merging of various subsystems increases the functional and operational time. It also increases the complexity and cost due to the usage of advanced devices such as multicore processors, sensors, actuators, and wireless communication devices. Further, the paradigm shift from distributed to centralized, caused by the processing methods of cyber-physical systems, has increased the complexity when analysing and processing data. All these points stress the need for efficient heterogeneous and parallel computing systems. Moreover, these computing methods can efficiently manage the hardware systems and their computing performance to supplement the adaptability and energy efficiency of the physical systems. Parallel and heterogeneous computing typically is a subsystem with powerful resource-constrained nodes, such as embedded and computer nodes, that organize devices within a wireless network. Apart from that, these computing methods revamp the data integration, self-organization, privacy protection, and data transmission of cyber-physical systems. It further enhances the capacities of IoT sensors and actuators through the token-ring approach in a communication network. Heterogenous and parallel computing reduces the real-time processing delay and energy loss of sensors in an idle state, increasing the life of the networked sensors. In addition, these types of computing systems leverage more resources, solve complex problems, and save the operational time and complexity of cyber-physical systems. All these features upgrade the flexibility of usage of cyber-physical systems, which, in turn, improves their software and hardware functionalities. This Special Issue offers a platform for researchers and practitioners to develop new conceptual models for cyber-physical systems based on heterogeneous and cloud computing.
List of topic areas include, but are not limited to:
- A survey on parallel and heterogenous computing platforms for cyber-physical systems.
- Review of cyber-physical systems with parallel and heterogenous computing systems.
- Scalable heterogenous and parallel computing methods for cyber-physical systems.
- Heterogenous and parallel computing methods for overcoming the challenges of cyber-physical systems.
- Enhancing the performance of cyber-physical systems with heterogenous and parallel computing methods.
- A paradigm shift in cyber-physical systems supported with advanced parallel and heterogenous computing methods.
- Augmenting the computational speed of cyber-physical systems based on heterogenous and parallel computing methods.
- Novel techniques based on heterogenous and parallel computing for cyber-physical systems.
- Adaptive heterogenous and parallel computing model for cyber-physical systems.
- Integrating heterogenous and parallel computing for cyber-physical environment.
Dr. Achyut Shankar
Dr. Zahid Akhtar
Guest Editors
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
- cyber physical systems
- parallel computing
- IoT
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.