Network selection in cognitive radio enabled Wireless Body Area Networks

• 作者: Krishan Kumar Monish Bhatia
• 来源期刊: 数字通信与网络:英文版
• 学科: 工学
• 关键词: WBAN COGNITIVE RADIO Network selection ENTROPY method MADM methods Fuzzy AHP
• 年，卷（期）: 2020,（1）
• 页码范围: 75-85
• 页数: 11页
• 分类号: TN9

摘要

In recent years,the great interest in Wireless Body Area Networks(WBANs)has been aroused significantly due to the advancement in wireless communications.In wireless communication,all WBAN nodes that monitor the human body's vital functions transfer information to a central sink node,which is directly connected to a Cognitive Radio enabled Controller called CRC.To transfer this information from a CRC to an e-health server,it requires long-range wireless networks,such as UMTS,LTE,WiMAX,WiFi,and satellite internet provider.It is challenging for a CRC to select the best networks for different WBAN data traffic,such as emergency mandatory,delay sensitive,and general monitoring.This paper proposes a scheme for selecting the best network from the available networks depending on the Quality of Service(QoS)requirements for different WBAN applications.Different multiple attribute decision-making algorithms are used in the proposed scheme.Numerical results and discussion reveal that the proposed scheme is effective in making a good network selection in situations where there is a conflict among different QoS requirements for different WBAN applications.