Paper Info
Title
Adaptive Multi-Service Heterogeneous Network Selection Scheme in Mobile Edge Computing
Abstract
With the coming of the fifth-generation (5G) mobile communications, in mobile edge computing (MEC), the growth of user services and the personalization of QoS requirements have posed great challenges for heterogeneous wireless networks (HWNs) access selection. Based on the multiattribute decision theory and the fuzzy logic theory, we propose a novel network selection scheme for multiservice QoS requirements in MEC. The main procedures of the scheme include dynamic adaptive process, fuzzy process, hierarchical analysis, and integrated attributes assessment. The scheme proposed contributes to efficiently reduce the ping-pong effect and effectively select accurate network in a dynamic environment. Simulation results show that our scheme can select network access according to the type of user services and whether to switch networks. In addition, compared with commonly used simple additive weighting (SAW), random access selection (RAS), and price-based and QoS-based network selection scheme, our scheme has better performance in improving average user satisfaction and reducing access failures.
Year
DOI
Venue
2019
10.1109/jiot.2019.2912155
IEEE Internet of Things Journal
Keywords
Field
DocType
5G mobile communication,Fuzzy logic,Quality of service,Heterogeneous networks,Edge computing,Delays,Cloud computing
Edge computing,Wireless network,Computer science,Computer network,Quality of service,Mobile edge computing,Heterogeneous network,Mobile telephony,Access network,Distributed computing,Random access
Journal
Volume
Issue
ISSN
6
4
2327-4662
Citations 
PageRank 
References 
1
0.35
0
Authors
6
Name
Order
Citations
PageRank
Anqi Zhu143.09
Song-Tao Guo239257.76
Bei Liu32612.94
Mingfang Ma432.74
Hao Feng59920.70
Xin Su628353.83