Browsing by Author "Tuncer, A. Turgut"

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An Aloha Based Throughput Analysis For Cognitive Radio Applications in Tv Bands
(2014) Tuncer, A. Turgut
Since existing spectrum is limited and could not efficiently be used, new ways to solve this problem are brought forth. The unused bands currently allocated to TV broadcasting services can be opportunistically reassigned to support broadband networking services while continuing to provide broadcast TV The fragmented and unused TV channels have considerable amount of bandwidth potential and long transmission ranges. This paper considers an OFDM based wireless communications system using TV bands. To make a good use of spectral resources, two OFDM paradigms, ie., Fixed Carrier Spacing (FCS) and Fixed Carrier Number (FCN), have been investigated deeply for Aloha-Medium Access Control protocol in TV white spaces.
A New Portable Device for the Snore/Non-Snore Classification
(2017) Ankishan, Haydar; Tuncer, A. Turgut; 0000-0002-6240-2545; AAH-4421-2019
Snoring is widely known as a disease. The aim of this paper is to introduce and validate our newly developed snoring detection device to identify automatically snore and non-snore sounds using a nonlinear analysis technique. The developed device can analyze chaotic features of a snore related sounds such as entropy, Largest Lyapunov Exponents (LLEs) and also has the data classification ability depending on the feature values. We report that the developed snoring detection device with proposed automatic classification method could achieve an accuracy of 94.38% for experiment I and 82.02 for experiment II when analyzing snore and non-snore sounds from 22 subjects. This study revealed the efficacy of our newly developed snoring detection device and indicated that it may be used at home an alternative to diagnose snore related sounds. It is anticipated that our findings will contribute to the development of an automated snore analysis system to be used in sleep studies.
Security and Privacy in Medical Internet of Things and Cluster-Based Wireless Sensor Networks for Health Care
(2020) Hammoodi, Asmaa Salih; Ozdemir, Suat; Tuncer, A. Turgut; Celebi, Fatih V
Advances in sensing, networking, and the ambient intelligence of wireless sensor networks (WSNs) have been taking place in many applications recently. Growing health-care systems need wireless-based sensor networks to provide data on the health status and living environment of patients during periods of illness. Mainly WSNs use the mechanism of clustering to reduce the energy consumption required with hierarchical structures to enhance network performance. The second prevalent challenge concerns the security of WSN cluster nodes because of the big attacks and security investigations come in WSN-health care applications as a challenging and motivating problem. This paper focuses on two essential platforms adopted within WSN applications. The hardware platform characterizes the WSN cluster nodes specifying automatically encrypted nodes during routing. The software platform is a simulation performed with two features: one identical to the hardware platform to enhance the results and compare between them, a second structure implementing three encryption algorithms as a reasonable technique to secure cluster nodes: Caesar cipher, RC4, and advanced encryption standard (AES). The first goal achieved by our plan is our private and secure medical protocol, which depends on identity-based cryptography, accomplished via the hardware platform. The second goal derived from the simulation is increasing the number of PEGASIS chains when the time needed to perform the task is limited particularly in cases of emergency to preview history and data of patients, but more chains get many frames of data aggregation, which causes overlap. Eventually, the system provides a rapid, efficient, flexible, secure, and authoritative infrastructure where our results showed that data retention in the node and by using the appropriate cryptographic algorithms in the group achieved privacy and security in the health care centers.