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

This paper proposes and evaluates a reliable and efficient wireless telemedicine network architecture using cognitive radio network technology for e-Health applications. The proposed architectural framework is designed, to tackle congestion and inconsistency in network availability using the cognitive radio (CR) and to provide priority-based health services to distant primary health care centers. The proposed architectural framework utilizes the (1) dynamic prioritization scheme of the data, based on patient condition (2) prioritization based channel allocation using novel MAC protocol and (3) efficient utilization multiple wireless communication technologies using cognitive radio network. This paper utilizes the Data Sensitive Adaptive MAC (DSA-MAC) protocol for medical data prioritization and transmission at a body area network level (consist of multiple wireless medical sensors implanted on the single patient) of communication. Based on DSA-MAC, a novel MAC layer protocol, Node Sensitive Adaptive MAC (NSA-MAC) protocol is developed to prioritize the different patients based on their medical conditions and assist the prioritization based data transfer. Finally, the proposed architectural framework tackles congestion and inconsistency in network availability by shifting the data transfer process to any of the available networks (GSM, 3G-UMTS, WiMAX and 4G-LTE), with the help of cognitive radio

Design and Analysis of a Reliable, Prioritized and Cognitive Radio-Controlled Telemedicine Network Architecture for Internet of Healthcare Things