Multi-disciplinary Applications of IoT Frameworks
Paper submission deadline: January 15, 2020
Author decision notification: January 26, 2020
Final paper & copyright submit deadline: February 27, 2020
The Internet of Things (IoT) infrastructure has enabled simple devices to communicate amongst each other. This interconnection of “things” has heavily influenced multiple business sectors including smart healthcare, smart cities, smart grid, smart transportation, smart agriculture and so on. Through accurate and creative solutions, the IoT frameworks help in improving quality of the business delivered and enriches the overall user experience. The backbone of the IoT framework is the simple sensor which can transmit some data to the cloud with the help of communication protocols.
Traditionally, the “things” in the Internet of Things framework can only send or receive data. Due to the increase in number of applications that benefit from IoT frameworks, the number of connected devices have exponentially increased. As per the reports by Allied Market Research, there were about 3.1 million connected medical devices in 2018 and the impact of IoT in healthcare market was expected to reach $136.8 Billion worldwide by 2021. Per a report by Grand View Research, Inc., the economic impact of IoT in industries such as smart cities, smart grid, smart healthcare and so on, is expected to reach $933.62 Billion by 2025. Due to this increasing market value, more number of devices are expected to be connected to the IoT network. This creates challenges in terms of scalability, reliability, response time, network bandwidth, smaller form factor, and so on.
These challenges have unleashed the potential for edge computing, which performs the data analytics on the edge, that helps in taking some load off the network’s processing workload to the devices located on its outer edges. Hence the “Things” are equipped with some intelligence that can improve the IoT application’s speed. IoT Edge computing architectures can significantly influence the Internet of Medical Things (IoMT) architectures where the response time needs to be as quick as possible.
Research in IoT frameworks are focused on improving the intelligence of the edge devices, efficient and reliable communication protocols for each application, security and privacy aspect of the connected devices, form factors of the devices, infrastructure for the data analytics, cloud computing and so on. Overall, these challenges can have various level of impact while designing the end-to-end solution for each innovative IoT-based application.
This special session intends to serve as a forum to present state-of-the-art IoT-frameworks that are designed for various applications in various disciplines. The topics for this special session of interests include, but are not limited to the following:
- Edge-Intelligent Sensor designs for Internet of Medical Things
- End-to-end solutions for IoT applications
- Security and Privacy in IoT frameworks
- IoT frameworks for Special Education
- Scalable IoT architectures for Smart Cities
- Application-Specific Architectures for IoT applications
- Real-time System solutions for IoT applications
- Security and Privacy assured frameworks for diverse IoT applications.
- Application of Virtual Reality and Augmented Reality in IoT applications.
Special Session Chairs:
- Prabha Sundaravadivel, email@example.com
- Premananda Indic, firstname.lastname@example.org
- Vijayakumar Ponnusamy, email@example.com