Paper Info
Title
The Application Of Distributed Database On Spectrum Big Data
Abstract
The management and utilization of spectrum resources has always been an important issue. The data of radio signals from the time domain, frequency domain, and space domain is tremendous. The current spectrum databases are mainly centralized and the disaster recovery capacity of centralized database is insufficient. In the future, cognitive radio network (CRN) will be the development trend of mobile communications. The access to the spectrum database by a large number of cognitive radio (CR) terminals and the uploading of spectrum detection data by the spectrum detection terminal in real time will exert tremendous pressure on CRN. This paper proposes use of distributed spectrum databases instead of centralized database architectures in the spectrum big data to improve the fault tolerance of spectrum databases. Multi-node collaborative electromagnetic detection method with source parameter is proposed to replace the traditional wide-band energy detection method. The traditional spectrum database stores spectrum data with energy values, and the redundancy of data is really high. We propose to store the instantaneous parameters of signal source with the structure of blockchain. The timestamp is used as the link ID of the block to connect each block end-to-end, and a distributed spectrum database is established. With the timestamp as a unique identifier, the nodes locally interact with real-time detection data. Secondary user (SU) achieve the complete electromagnetic spectrum data by access each node. SUs can analyze the electromagnetic spectrum environment, and formulate appropriate strategies for rapid dynamic spectrum access (DSA).
Year
DOI
Venue
2018
10.1007/978-3-030-00009-7_20
CLOUD COMPUTING AND SECURITY, PT II
Keywords
Field
DocType
Distributed database, Spectrum big data, Cooperative detection, Blockchain, Spectrum visualization
Frequency domain,Electromagnetic spectrum,Centralized database,Computer science,Timestamp,Distributed database,Big data,Mobile telephony,Cognitive radio,Distributed computing
Conference
Volume
ISSN
Citations 
11064
0302-9743
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Zhenjia Chen100.34
Yonghui Zhang200.68
Xia Guo312.04