TY - JOUR
T1 - Dynamic edge access system in IoT environment
AU - Wu, Huifeng
AU - Sun, Danfeng
AU - Peng, Lan
AU - Yao, Yuan
AU - Wu, Jia
AU - Sheng, Quan Z.
AU - Yan, Yi
PY - 2020/4
Y1 - 2020/4
N2 - Edge computing has enabled extensive reasoning capabilities at the edge of the network. Edge nodes have direct access to edge sources (e.g., sensors, devices) to read and process relevant data, while each sensor/device manufacturer uses their bespoke protocols in the Internet of Things (IoT) environment, hence, addressing compatibility problems to ensure seamless access has become a cumbersome task. A conventional solution is to save all sensor/device protocols in an edge node, however, which brings higher redundancy and hardware expenditure. Hence, we propose a dynamic edge access system (DEA) built on a collaborative IoT architecture. It solves the compatibility issues with low redundancy by customizing access programs. Besides, embedded programmable logic controllers are designed as edge nodes and have been applied in around 78 000 base stations. After implementing DEA, the analysis illustrates that the average improvement of every station's protocol utilization is 96.3% and 66.6%, while the memory footprint is decreased to 4.5% and 33.3% compared with the conventional solution and global dynamic reconfiguration method.
AB - Edge computing has enabled extensive reasoning capabilities at the edge of the network. Edge nodes have direct access to edge sources (e.g., sensors, devices) to read and process relevant data, while each sensor/device manufacturer uses their bespoke protocols in the Internet of Things (IoT) environment, hence, addressing compatibility problems to ensure seamless access has become a cumbersome task. A conventional solution is to save all sensor/device protocols in an edge node, however, which brings higher redundancy and hardware expenditure. Hence, we propose a dynamic edge access system (DEA) built on a collaborative IoT architecture. It solves the compatibility issues with low redundancy by customizing access programs. Besides, embedded programmable logic controllers are designed as edge nodes and have been applied in around 78 000 base stations. After implementing DEA, the analysis illustrates that the average improvement of every station's protocol utilization is 96.3% and 66.6%, while the memory footprint is decreased to 4.5% and 33.3% compared with the conventional solution and global dynamic reconfiguration method.
KW - Dynamic edge access (DEA)
KW - edge computing
KW - Internet of Things (IoT)
KW - massive devices
UR - http://www.scopus.com/inward/record.url?scp=85083710431&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2019.2943696
DO - 10.1109/JIOT.2019.2943696
M3 - Article
AN - SCOPUS:85083710431
SN - 2327-4662
VL - 7
SP - 2509
EP - 2520
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 4
ER -