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Software Defined Networking (SDN) is an emerging concept that maintains and analyzes the network status with its centralized architecture. This facility ensures network operators to monitor and manage the network elements with custom applications running on a single or multiple controllers. In this paper, we show that network security issues such as threat detection can easily be solved by using SDN due to its programmable nature. This paper specifically presents a case study that addresses a solution for detection of DHCP starvation attacks in an SDN, which is one of the most common network security problems that may disable the whole network operations. Publisher's Version

In our country, as in the world, domestic animal ownership rate is increasing day by day. Pet owners use a variety of tools and methods to monitor their animals' health. One of the most commonly used methods to track animal health is to observe animal activity level. A decrease in animal's activity level is the first and most obvious symptom in most animal diseases. In this study, an IoT system is developed to automatically recognize and track the activities of domestic animals. The system includes a sensor node attached to the pet's collar, a mobile application that transfers the data collected by this sensor node to the cloud architecture, and a software and user interface that automatically classifies and visualizes data in the cloud architecture. With the obtained data, the pet's activities within a day were determined by showing different classes of action (sitting, walking, running). Dogs were used as subjects in the study.

24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY WOS: 000391250900519 The environmental noise levels of our working areas have a critical impact on our psychological and physical health and business efficiency. Therefore; there is a need for systems that monitor environmental noise. In this paper, the sensor nodes equipped with microphones and participating smartphones are used to form an environmental noise monitoring network. This system allows monitoring of indoor areas such as offices and factories for the entire day. The sound pressure levels, which are associated with the time and location information, obtained from the work environments through the deployed network are transferred to the cloud. The resulting data are used to create noise maps of the environments. IEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Engn

In mission critical applications of wireless sensor networks (WSNs), multiple sinks can be associated to first responders such as firefighters, but also to unmanned aerial vehicles (UAVs). In such scenarios, data dissemination of events towards mobile sinks should be performed reliably. In this paper we present Honeycomb Architecture which enables data dissemination considering dynamic conditions of multiple sinks and sources. Honeycomb Architecture exploits a virtual infrastructure called ‘highways’, which is an area where all event data are cached. The ‘highways’ act as rendezvous regions of the events and queries. Once a query is issued, it is sent to one of the ‘highways’ and searches relevant data stored in the ‘highway’. When the data is found, it is sent to the sink which has issued the query. Our data dissemination protocol is fault-tolerant, i.e., it can bypass holes in the network. We evaluate and compare the data delivery ratio and latency of our data dissemination protocol with previous approaches. We also analyze the hotspot regions in the network with different protocols. Simulation results show that our work significantly reduces overall energy consumption while maintaining comparably high data delivery ratio.

In wireless sensor networks (WSNs), data dissemination is generally performed from sensor nodes to a static sink. If the data under consideration is an emergency message such as a fire alarm, it must be transmitted as fast and reliably as possible towards the sink of WSN. In such mission critical applications, it may not be enough to have one static sink but there will be multiple and mobile sinks. Sinks can be associated to first responders such as firefighters, but also to unmanned aerial vehicles (UAVs). The existing approaches have a high communication cost and a high delivery latency, which makes them less suitable for emergency situations. As an alternative to existing protocols, we present Honeycomb Architecture and Hexagonal Tiling-Based Data Dissemination (HexDD) protocol for emergency message transmission in mobile multi-sink WSNs. Simulation results show that HexDD has a high data delivery ratio and a very low data delivery latency, which are major requirements for disaster management scenarios.