MADM Algorithms for Network Selection in Wireless Body Area Networks
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In recent years, interest in WBAN has increased significantly due to advancement in wireless communications. In wireless communication, all the nodes that monitor the human body's vital function information associated with WBANs transfer to the central sink node, which is directly connected to cognitive radio enabled controller called CRC. To transfer this information from CRC to e-health server, it requires long range available wireless networks like UMTS, LTE, WiMAX, Wi-Fi and Satellite Internet provider etc. Now, it becomes a challenge for CRC to select the best networks for different WBANs...
In recent years, interest in WBAN has increased significantly due to advancement in wireless communications. In wireless communication, all the nodes that monitor the human body's vital function information associated with WBANs transfer to the central sink node, which is directly connected to cognitive radio enabled controller called CRC. To transfer this information from CRC to e-health server, it requires long range available wireless networks like UMTS, LTE, WiMAX, Wi-Fi and Satellite Internet provider etc. Now, it becomes a challenge for CRC to select the best networks for different WBANs data traffics such as EM (emergency mandatory), DS (delay sensitive) and GM (general monitoring), etc. This book provides the literature survey and investigates the schemes for best network selection from the available networks depending upon different QoS requirement for different WBAN applications. The different multiple attribute decision-making algorithms are used in the proposed schemes.
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