Title
A Unified Framework For Software Defined Sensing, Transmission And Computing
Abstract
The in-cessation trend of railways ramification calls for railway sensing on an urgent basis. Railway sense is required to keep suspecting potential danger in a large scope and provide a safe transportation environment. The fundamental infrastructure to realize railway sensing comprises of space and terrestrial integrated network (STIN) nodes, such as high-speed railway, trackside equipment, unmanned aerial vehicle, airship, and remote sensing satellite. This architecture needs to support diverse applications flexibly and ensure efficient infrastructure management. Inspired by the philosophy of software-defined network, which attempts to give more flexibility to networks, we propose a software-defined sensing and integrated architecture for such a network. We decouple the railway sensing application from the physical infrastructure. Besides, we designed centralized controllers to manage physical facilities and supply APIs of data processing, including acquisition, transmission, computation, and storage. Various applications can share common infrastructure with such properties, and each of these applications can customize its data acquisition, transmission, and computing by requesting APIs of controllers. This paper includes discussions of the design details of the proposed architecture and benefits. We also proposed some open problems and the potential solutions to solve them, which we hope to provide railway sensing research in a new direction.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2908823
IEEE ACCESS
Keywords
Field
DocType
SDN, railway sensing, space and terrestrial integrated network, architecture design
Architecture,Data processing,Computer science,Data acquisition,Computer network,Infrastructure management,Software,Integrated architecture,Distributed computing,Computation
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Jie Sun122.39
Feng Liu200.34
Manzoor Ahmed36911.49
Yong Li42972218.82
Hao Zeng584.60