TY - GEN
T1 - IoT devices and edge gateway provisioning, realtime analytics for simulated and virtually emulated devices
AU - Ali, Omer
AU - Ishak, Mohamad Khairi
AU - Wuttisittikulkij, Lunchakorn
AU - Maung, Tay Zar Bhone
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - The advent of internet enabled small form factor computational devices have already revolutionized the way we fetch information, envision intelligent systems by inferencing real-time analytics from these IoT devices. The current trend is focused towards enabling IoT edge gateways as intermediary computational resources contrary to the cloud model that performs all the heavy lifting in the cloud. It is estimated that billions of IoT devices will be deployed by year 2020, however, very little to no information is present on ease of device provisioning. Similarly, the IoT Edge based vertical markets concepts has begun to surface, however, very little information is available that discusses the merits and demerits of this newly envisioned network architecture. This paper aims to implement a Health-care domain scenario by provisioning and connecting real-time device data from simulated as well as emulated virtual IoT devices on industry leading IoT platforms. The results provide a deeper understanding of system performance by evaluating network latencies with increased payloads which further signifies the role and need for deploying Edge IoT gateways within the network. Device provisioning, service profiling and the ease of group resource management is also presented which helps to build larger scalable networks on these IoT platforms.
AB - The advent of internet enabled small form factor computational devices have already revolutionized the way we fetch information, envision intelligent systems by inferencing real-time analytics from these IoT devices. The current trend is focused towards enabling IoT edge gateways as intermediary computational resources contrary to the cloud model that performs all the heavy lifting in the cloud. It is estimated that billions of IoT devices will be deployed by year 2020, however, very little to no information is present on ease of device provisioning. Similarly, the IoT Edge based vertical markets concepts has begun to surface, however, very little information is available that discusses the merits and demerits of this newly envisioned network architecture. This paper aims to implement a Health-care domain scenario by provisioning and connecting real-time device data from simulated as well as emulated virtual IoT devices on industry leading IoT platforms. The results provide a deeper understanding of system performance by evaluating network latencies with increased payloads which further signifies the role and need for deploying Edge IoT gateways within the network. Device provisioning, service profiling and the ease of group resource management is also presented which helps to build larger scalable networks on these IoT platforms.
KW - Analytics
KW - Device provisioning
KW - Edge gateway
KW - Health-care
KW - IoT edge
KW - IoT platforms
UR - https://www.scopus.com/pages/publications/85083516048
U2 - 10.1109/ICEIC49074.2020.9051037
DO - 10.1109/ICEIC49074.2020.9051037
M3 - Conference contribution
AN - SCOPUS:85083516048
T3 - 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
BT - 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
Y2 - 19 January 2020 through 22 January 2020
ER -