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Effect of Channel Modeling on Intercept Behavior of a Wireless BAN With Optimal Sensor Scheduling
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Author(s): Deepti Kakkar (Dr. B. R. Ambedkar National Institute of Technology, India), Gurjot Kaur (Dr. B. R. Ambedkar National Institute of Technology, India), Parveen Kakkar (DAV Institute of Engineering and Technology, Jalandhar, India)and Urvashi Sangwan (Dr. B. R. Ambedkar National Institute of Technology, India)
Copyright: 2020
Pages: 31
Source title:
Security and Privacy Issues in Sensor Networks and IoT
Source Author(s)/Editor(s): Priyanka Ahlawat (National Institute of Technology, Kurukshetra, India)and Mayank Dave (National Institute of Technology, Kurukshetra, India)
DOI: 10.4018/978-1-7998-0373-7.ch004
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Abstract
Body area networks (BANs), a type of Personal Area Networks (PANs), form a significant part of health care applications. This chapter analyzes the effect of channel modeling on the intercept behavior of a wireless BAN while taking optimal sensor scheduling into account. A comparison is drawn between Lognormal and Weibull models for this case. Wireless BANs represent wireless networks of sensors allocated on, in, and around the human body. BANs are basically meant for health care applications where long-lasting and reliable operation is a must. Some healthcare applications carry sensitive information, therefore security is an important issue. A BAN with a sink node and various sensors is considered here along with an eavesdropper. Due to the radio wave propagation's broadcast nature, the wireless communication can be overheard by the eavesdropper. To safeguard the BAN, the propagation channels need to be characterized and modeled for designing reliable communication systems.
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