@Article{cmc.2020.07334,
AUTHOR = {Zhu Liu, Xuesong Qiu, Shuai Zhang, Siyang Deng, Guangyi Liu},
TITLE = {Service Scheduling Based on Edge Computing for Power Distribution IoT},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {62},
YEAR = {2020},
NUMBER = {3},
PAGES = {1351--1364},
URL = {http://www.techscience.com/cmc/v62n3/38359},
ISSN = {1546-2226},
ABSTRACT = {With the growing amounts of multi-micro grids, electric vehicles, smart home, 
smart cities connected to the Power Distribution Internet of Things (PD-IoT) system, 
greater computing resource and communication bandwidth are required for power
distribution. It probably leads to extreme service delay and data congestion when a large 
number of data and business occur in emergence. This paper presents a service scheduling 
method based on edge computing to balance the business load of PD-IoT. The architecture, 
components and functional requirements of the PD-IoT with edge computing platform are 
proposed. Then, the structure of the service scheduling system is presented. Further, a novel 
load balancing strategy and ant colony algorithm are investigated in the service scheduling 
method. The validity of the method is evaluated by simulation tests. Results indicate that 
the mean load balancing ratio is reduced by 99.16% and the optimized offloading links can 
be acquired within 1.8 iterations. Computing load of the nodes in edge computing platform 
can be effectively balanced through the service scheduling.},
DOI = {10.32604/cmc.2020.07334}
}