Summary
International Conference on Emerging Technologies for Communications
2020
Session Number:B3
Session:
Number:B3-1
Sensing Data Compression with Adaptive Time Span and Compensation of Irregular Data for Spectrum Sensing in Exploiting White Space
Kenichiro Yamamoto, Osamu Takyu, Yasushi Fuwa,
pp.-
Publication Date:2020/12/2
Online ISSN:2188-5079
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Summary:
For recovering a serious problem of spectrum scarcity, a dynamic spectrum access with spatial sharing among multiple systems is powerful scheme. The white space, which the system can access to the frequency band even under the occupation of it by the other system, is searched for by radio sensors. The radio sensors are spread over the area of wireless environment and detects the received signal strength indication (RSSI) . how to collect all the sensing data with fewer radio resources is important task because there are massive radio sensors. This paper proposes the data compression scheme based on adaptive time span for compensating the noise components and compressing the sensing results. In proposed scheme, the irregular data within the time span for compression is removed and thus the fluctuation of compressed data is suppressed and the transmission of irregular data through the other channel makes the accuracy of the sensing data improved. From the computer simulation, our proposed compressing scheme achieves the highly accuracy of sensing data as well as the highly compression of sending data.