Special Issue "Embedded Devices in IoT"
Deadline for manuscript submissions: closed (31 August 2020).
The Internet of Things (IoT) is a new but very common computing paradigm that has enabled vast enhancements in communication capabilities across a variety of devices, and, thus, has provided significantly improved connectivity properties compared to the traditional systems. One of the main ideas of the IoT is that any physical device or an everyday object can be connected to the Internet with the help of embedded computing devices. These embedded devices are usually small but highly capable in data collection and basic computations; and include sensors, actuators, microcontrollers, etc. Since IoT has led to an important shift from the traditional computing architectures, it also created new problems related to hardware/software design, computational capabilities, real-time task processing, security and privacy of users and their data, etc. There is a need for extensive research on the design, capabilities, and applications of the embedded devices that are widely used in IoT to address the above problems. In this Special Issue, we focus on embedded device usage in IoT.
General topics covered in this Special Issue include, but are not limited to the following:
- New sensor/actuator design for IoT
- Wireless sensor network design and implementation for IoT systems
- Microcontroller design and performance analysis within IoT applications
- Application-specific hardware designs (e.g., FPGA-based implementations) for IoT
- Hardware–software co-design for IoT systems and applications
- Real-time data analytics using embedded devices
- Efficient and accurate machine learning usage with embedded devices
- Edge computing using embedded devices
- Novel security and privacy methods leveraging embedded device hardware and/or software
- Embedded system design addressing one or more of the following IoT issues: energy-efficiency, resiliency, scalability, longevity, cost, device heterogeneity, and standardization
- Emerging IoT applications using new generation embedded devices
Dr. Baris Aksanli
Manuscript Submission Information
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- wireless sensor networks
- real-time computation
- edge computing
- hardware/software design
- machine learning