English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Received: 28 April 2018 Accepted: 30 June 2018 Cognitive Radio Networks offers solution of spectrum insufficiency, In CRNs licensed spectrum channels are used by licensed user (Primary users) and unlicensed users (Secondary users) such that secondary user (SU) does not harm and interfere activities of primary user (PU). Spectrum Decision System is required for intelligent spectrum sensing, access and distribution between PU and SU. Cooperative spectrum sensing (CSS) can reduce the overhead on signal processing techniques and enable the SUs for reliable detection of PUs activity. Spectrum availability in CSS approach node makes a binary decision based on its local observation and then forwards its decision to the fusion center (FC). At the FC, all these decisions are merged together according to some fusion rule. In this paper, a frameork for cooperative SUs is presented, which have to decide about the presence or absence of the PU in target spectrum. The performance of the framework is then evaluated and it is observed that it outperforms different commonly used routing scheme. It ensures to sufficiently increase the probability of correct detection and decrease in the probability of false alarm.

Incremental voting based spectrum sensing model for cognitive radio networks