Paper Info
Title
Fog Radio Access Networks In Internet Of Battlefield Things (Iobt) And Load Balancing Technology
Abstract
The recent trend of military is to combined Internet of Things (IoT) knowledge to their field for enhancing the impact in battlefield. That's why Internet of battlefield (IoBT) is our concern. This paper discusses how Fog Radio Access Network(F-RAN) can provide support for local computing in Industrial IoT and IoBT. F-RAN can play a vital role because of IoT devices are becoming popular and the fifth generation (5G) communication is also an emerging issue with ultra-low latency, energy consumption, bandwidth efficiency and wide range of coverage area. To overcome the disadvantages of cloud radio access networks (C-RAN) F-RAN can be introduced where a large number of F-RAN nodes can take part in joint distributed computing and content sharing scheme. The F-RAN in IoBT is effective for enhancing the computing ability with fog computing and edge computing at the network edge. Since the computing capability of the fog equipment are weak, to overcome the difficulties of fog computing in IoBT this paper illustrates some challenging issues and solutions to improve battlefield efficiency. Therefore, the distributed computing load balancing problem of the F-RAN is researched. The simulation result indicates that the load balancing strategy has better performance for F-RAN architecture in the battlefield.
Year
DOI
Venue
2019
10.1109/ictc46691.2019.8939722
2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE
Keywords
Field
DocType
Distributed computing, energy efficiency, fog computing, industrial internet of things (IIoT), ultra low latency
Edge computing,Load balancing (computing),Efficient energy use,Computer science,Computer network,Edge device,Radio access network,Energy consumption,Cloud computing,The Internet
Conference
ISSN
Citations 
PageRank 
2162-1233
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Md. Sajjad Hossain100.34
Muhammad Rusyadi Ramli212.04
Jae Min Lee312437.53
Dong-Seong Kim46428.80