IEEE Embedded Systems Letters

Scope & Guideline

Fostering Collaboration in Embedded Systems Engineering.

Introduction

Delve into the academic richness of IEEE Embedded Systems Letters with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1943-0663
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2009 to 2024
AbbreviationIEEE EMBED SYST LETT / IEEE Embed. Syst. Lett.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address445 HOES LANE, PISCATAWAY, NJ 08855-4141

Aims and Scopes

The IEEE Embedded Systems Letters journal focuses on the latest advancements in embedded systems technologies, offering a platform for innovative research that bridges hardware and software design, optimization, and application in various domains.
  1. Embedded Systems Design and Optimization:
    Research that explores methodologies for the design, optimization, and implementation of embedded systems, including hardware-software co-design, energy efficiency, and resource management.
  2. Machine Learning and AI in Embedded Systems:
    Emphasis on the integration of machine learning and artificial intelligence techniques into embedded systems for real-time applications, including hardware accelerators for neural networks and adaptive learning models.
  3. Security and Reliability in Embedded Systems:
    Focus on developing secure and reliable embedded systems, including methodologies for detecting hardware trojans, side-channel attacks, and ensuring fault tolerance and resilience.
  4. IoT and Sensor Networks:
    Exploration of embedded systems in the context of the Internet of Things (IoT), including sensor data processing, wireless communication protocols, and energy-efficient designs.
  5. FPGA and Hardware Acceleration:
    Research on the use of Field Programmable Gate Arrays (FPGAs) for accelerating computations and implementing complex algorithms in embedded systems, highlighting innovative design strategies and applications.
Recent publications indicate a clear trend towards innovative applications and methodologies that leverage emerging technologies and concepts in embedded systems.
  1. Integration of AI and Machine Learning:
    There is a growing trend toward integrating AI and machine learning techniques into embedded systems, emphasizing real-time processing, adaptive algorithms, and intelligent decision-making capabilities.
  2. Energy Efficiency and Sustainability:
    A significant increase in research focused on energy-efficient designs and sustainable practices in embedded systems, reflecting the industry's shift towards greener technologies.
  3. Security Enhancements and Countermeasures:
    Emerging themes in security research highlight the development of robust countermeasures against vulnerabilities in embedded systems, particularly in the context of IoT and critical infrastructure.
  4. Advanced Communication Protocols:
    Research has increasingly focused on advanced communication protocols for IoT devices, including low-power wide-area networks (LPWAN) and novel architectures for efficient data transmission.
  5. Real-Time Data Processing and Edge Computing:
    A notable trend is the emphasis on real-time data processing and the deployment of edge computing solutions, allowing for faster and more efficient data handling in various applications.

Declining or Waning

While the journal has consistently pursued a range of topics, certain themes have shown a decline in focus over recent years, indicating a possible shift in research priorities within the community.
  1. Traditional Embedded System Development:
    There has been a noticeable decrease in publications focused solely on traditional embedded system development practices without the integration of advanced technologies like AI or IoT.
  2. Low-Level Hardware Design Techniques:
    Papers solely dedicated to low-level hardware design without specific applications or optimizations for modern use cases are becoming less frequent, as the field shifts towards higher-level abstractions and integrations.
  3. Analog Circuit Design in Embedded Systems:
    Research related to traditional analog circuit design within embedded systems has seen reduced prominence, likely due to the growing focus on digital solutions and hybrid systems.

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