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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.

Wireless Sensor Networks (WSNs) appear as a promising solution for industrial applications, especially for monitoring purposes, due to the advantages that they provide [19]. First of all, they overcome the wiring constraints present in wired industrial monitoring and control systems. Other advantages can be listed as ease of installation and maintenance, reduced cost, and better performance [50]. On the other hand, lack of standardization, strict real-timeliness, and reliability requirements of some industrial applications have limited their use in industrial domains [6]. Today, however, initial examples of industrial wireless sensor networks (IWSNs) do appear especially on process monitoring and control [28, 19], supported with standardization efforts such as IEEE 802.15.4 [2], WirelessHART [40], and ISA100.11a [25]. Publisher's Version

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

Chronic diseases, such as diabetes, heart disease (e.g. arrhythmia and hypertension), chronic respiratory diseases (e.g. asthma and COPD), are by far the leading cause of mortality in the world, representing 63% of all deaths. Out of the 36 million people who died from chronic disease in 2008, nine million were under 60. Remote patient monitoring is an efficient and cost-effective solution to mitigate this problem. The key technology to facilitate wireless mobile healthcare or TeleHealth is cellular based M2M (machine-to-machine) communication. In this demo, we present a M2M Communication Module and its healthcare application developed at Turkcell Technology, Applied Research Lab.

A new category of intelligent sensor network applications emerges where motion is a fundamental characteristic of the system under consideration. In such applications, sensors are attached to vehicles, or people that move around large geographic areas. For instance, in mission critical applications of wireless sensor networks (WSNs), sinks can be associated to first responders. In such scenarios, reliable data dissemination of events is very important, as well as the efficiency in handling the mobility of both sinks and event sources. For this kind of applications, reliability means real-time data delivery with a high data delivery ratio. In this article, we propose a virtual infrastructure and a data dissemination protocol exploiting this infrastructure, which considers dynamic conditions of multiple sinks and sources. The architecture consists of 'highways' in a honeycomb tessellation, which are the three main diagonals of the honeycomb where the data flow is directed and event data is cached. The highways act as rendezvous regions of the events and queries. Our protocol, namely hexagonal cell-based data dissemination (HexDD), is fault-tolerant, meaning it can bypass routing holes created by imperfect conditions of wireless communication in the network. We analytically evaluate the communication cost and hot region traffic cost of HexDD and compare it with other approaches. Additionally, with extensive simulations, we evaluate the performance of HexDD in terms of data delivery ratio, latency, and energy consumption. We also analyze the hot spot zones of HexDD and other virtual infrastructure based protocols. To overcome the hot region problem in HexDD, we propose to resize the hot regions and evaluate the performance of this method. Simulation results show that our study significantly reduces overall energy consumption while maintaining comparably high data delivery ratio and low latency.

In order to efficiently deal with location dependent messages in multi-sink wireless sensor networks (WSNs), it is key that the network informs sinks what geographical area is covered by which sink. The sinks are then able to efficiently route messages which are only valid in particular regions of the deployment. In our previous work (see the 5th and 6th cited documents), we proposed a combined coverage area reporting and geographical routing protocol for location dependent messages, for example, queries that are injected by sinks. In this paper, we study the case where we have static sinks and mobile sensor nodes in the network. To provide up-to-date coverage areas to sinks, we focus on handling node mobility in the network. We discuss what is a better method for updating the routing structure (i.e., routing trees and coverage areas) to handle mobility efficiently: periodic global updates initiated from sinks or local updates triggered by mobile sensors. Simulation results show that local updating perform very well in terms of query delivery ratio. Local updating has a better scalability to increasing network size. It is also more energy efficient than our previously proposed approach, where global updating in networks have medium mobility rate and speed.

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.

One of the fundamental operations in sensor networks is convergecast which refers to the communication pattern in which data is collected from a set of sensor nodes and forwarded to a common end-point gateway, namely sink node, in the network. In case of multiple sinks within the network, the total load of the network has to be balanced among these sinks to minimize the problem of packet loss in the convergecast process in wireless sensor networks (WSNs) due to congestion and collisions near the sinks. In this paper, we present a novel cross-layered communication protocol for efficient data dissemination in multi-sink WSNs which is under consideration of SENSEI project. It basically combines network wide load balancing, clustering techniques and local routing optimizations with SENSEI architecture which make it efficient on both global and local level. The performance evaluation of the proposed technique shows how our routing protocol can balance the network load without additional control packets for routing tree maintenance.