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Cognitive Radio Network for E-Health Systems

Cognitive Radio Network for E-Health Systems

Shashank Gupta (Jaypee Institute of Information Technology, India), Shikha Singhal (Jaypee Institute of Information Technology, India), and Adwitiya Sinha (Jaypee Institute of Information Technology, India)
Copyright: © 2019 |Pages: 18
DOI: 10.4018/978-1-5225-5354-0.ch015
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Abstract

The world is witnessing widespread roots of ubiquitous computing across disciplines and industries. It is equipped with the ability to monitor anything from anywhere with efficient, easy, and equitable goods that offer services for everyone. This has become possible through usage of wireless technologies, which possess an extensive scope in healthcare domain. However, despite various advantages, wireless technologies are faced with distinct challenges in hospital environment. For instance, wireless devices often tend to cause electromagnetic interference to critical medical devices resulting in malfunctioning. Further, with ubiquitous computing, sensitive data about health state of patients is constantly being shared remotely from one place to another. Therefore, systems in place must address requirements of data security, and thus privacy. For this purpose, the chapter presents a collaborative study on cognitive-radio-based healthcare system, including advantages, architecture, and challenges related to implementation of cognitive radios in hospital environment.
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2. Background Study

Use of cognitive radios in the healthcare industry is an intriguing topic. Many researchers have proposed various architectures for implementing a cognitive radio based e-health application. Phunchongharn, Hossain, Niyato, and Camorlinga (2010) addressed the technological requirements of a cognitive radio based wireless system in terms of electromagnetic compatibility, data security, and seamless connectivity. Further, they also put forward an architecture for implementing a cognitive radio based e-health application in which they divided the wireless devices into two categories viz. primary devices and secondary devices which use an EMI-aware handshaking protocol for accessing the wireless channel. Finally, performance evaluation of the system is carried out using simulations. Mamoon, Muzahidul-Islam, Baharun, Komaki, and Ahmed (2015) proposed an architecture for a cognitive radio based e-health application in which all the wireless devices are capable of dynamic spectrum access. They proposed a three layer model, where a cognitive base station (CBS) occupies the first layer, all the wireless devices and sink access control form the middle layer, and cognitive radio aided sensor network forms the bottom layer. Luan and Ren (2015) discuss the complete design of an e-health network including the design for the physical layer, MAC layer, and the transport layer. Some researchers have performed a detailed analysis of wearable body sensors and their wireless transmissions, and have suggested EMI-aware cognitive radio based architectures for Wide Body Area Network (WBAN) (Shen, Liu, Yu, Ma, Li, Shen, & Chen, 2013; Chávez-Santiago, Jankunas, Fomin, & Balasingham, 2014).

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