Publications by authors named "Ebubekir Erdem"

Using mobile sink increases the coverage time and energy expenditure when there is a burst traffic condition in wireless sensor networks (WSNs). Hence, it is essential to handle burst traffic using mobile sinks in an energy-efficient mobility manner. In most studies, mechanisms of the clustering and routing have not taken into account burst traffic.

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The statistical weakness problem occurring as a result of physical randomness is an important shortcoming of TRNGs. Post-processing techniques are generally used in the literature to overcome this shortcoming. In this study, the hardware implementation of Advanced Encryption Standard (AES) substitution box (s-box)-based novel post-processing technique is presented.

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The improvement of stable, energy-efficient mobile-based clustering and routing protocols in wireless sensor networks (WSNs) has become indispensable so as to develop large-scale, versitale, and adaptive applications. Data is gathered more efficiently and the total path length is shortened optimally by means of mobile sink (MS). Two algorithms as bacterial interaction based cluster head (CH) selection and energy and transmission boundary range cognitive routing algorithm with novel approach for heterogeneous mobile networks are proposed in this study.

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