Yazar "Gulez, Kayhan" seçeneğine göre listele
Listeleniyor 1 - 15 / 15
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe ANN-Based Control of a Multiboat Group for the Deployment of an Underwater Sensor Network(Hindawi Ltd, 2014) Michailidis, Emmanouel T.; Tuna, Gurkan; Gezer, Gulsum; Potirakis, Stelios M.; Gulez, KayhanUnderwater sensor networks (USNs) can be used for several types of commercial and noncommercial applications. However, some constraints resulting from the nature of aquatic environments severely limit their use. Due to constraints such as large propagation latency, low-bandwidth capacity, and short-distance communications, a large number of USN nodes are deployed to provide reliability in most applications. In this study, an unattended deployment approach based on the use of an autonomous boat group is proposed. A map of the deployment zone and optimal locations of USN nodes are fed into the onboard computers of the boat group. After processing these data and determining paths to be followed, the boat group deploys sensor nodes at predetermined locations. During the deployment, the boat group is controlled by an artificial neural network-(ANN-) based control system for reducing path errors. A set of performance evaluations is given to prove efficiency of the proposed control system. Performance results show that the boat group can successfully follow a predefined path set and deploy USN nodes. The tradeoffs between energy consumptions, end-to-end delay, and number of hops between underwater relay nodes of energy-efficient USN are also examined. The results indicate that increasing the number of hops reduces the total energy consumption and the end-to-end delay.Öğe ANN-Based Estimation of Groundwater Quality Using a Wireless Water Quality Network(Hindawi Ltd, 2014) Kilicaslan, Yilmaz; Tuna, Gurkan; Gezer, Gulsum; Gulez, Kayhan; Arkoc, Orhan; Potirakis, Stelios M.Water is essential for life. Considering its importance for humans, it must be periodically analyzed to ensure its quality. In this study, a wireless water quality network is deployed to collect water quality parameters periodically and an artificial neural network-based estimation method is proposed to estimate groundwater quality. Estimating groundwater quality enables the authorities to take immediate actions for ensuring water quality. Compared to traditional water quality analysis methods, the proposed method has the advantage of letting the authorities know the quality of their water resources beforehand. A set of simulation studies given in this paper proves the efficiency and accuracy of the proposed method.Öğe Autonomous Intruder Detection System Using Wireless Networked Mobile Robots(IEEE, 2012) Tuna, Gurkan; Tasdemir, Coskun; Gulez, Kayhan; Mumcu, Tarik Veli; Gungor, Vehbi CagriWireless networked mobile robots pursuing a common objective are envisioned to be an efficient solution for many military, industrial, commercial, and environmental applications. This paper presents the design considerations of an autonomous intruder detection system based on wireless networked robots. Specifically, three critical aspects of these systems, such as coordination and task allocation, communication, and map-based intruder detection, have been investigated and a multi-sensor fusion mechanism has been presented. Performance results show that the fusion of redundant information from different sensors can increase the accuracy of a system and reduce overall uncertainty in intruder detection applications.Öğe An autonomous wireless sensor network deployment system using mobile robots for human existence detection in case of disasters(Elsevier, 2014) Tuna, Gurkan; Gungor, V. Cagri; Gulez, KayhanThis paper presents a novel approach of using autonomous mobile robots to deploy a Wireless Sensor Network (WSN) for human existence detection in case of disasters. During WSN deployment, mobile robots perform cooperative Simultaneous Localization and Mapping (SLAM) and communicate over the WSN. The proposed system has important advantages over a human-assisted system, including autonomous deployment, aggregated intelligence, and flexibility. However, the realization of these envisaged gains depends on communication and coordination capabilities of the system. In this study, the advantages of an autonomous WSN deployment system by mobile robots, design principles and implementation related issues have been explained. In addition, simulation studies have been performed to show the effectiveness of the proposed approach considering WSN coverage, coordination strategies, and SLAM perspectives. Overall, this paper addresses the advantages of using multiple robots for WSN deployment in terms of cooperative exploration and cooperative SLAM, the benefit of simultaneously deploying wireless sensor nodes during the exploration of an unknown deployment zone and the use of WSN-based communication as an alternative communication method during exploration. (C) 2012 Elsevier B.V. All rights reserved.Öğe Continuous Monitoring of Water Quality Using Portable and Low-Cost Approaches(Sage Publications Inc, 2013) Tuna, Gurkan; Arkoc, Orhan; Gulez, KayhanWater quality refers to the physical, chemical, and biological characteristics of water, and it is a measure of the condition of water relative to any human need or purpose. A particular problem with measuring the condition of water quality at drinking water reservoirs is the requirement of collecting a large number of samples. To handle this problem, we focus on the practical use of two different portable and low-cost approaches for continuous monitoring of water quality: miniboats loaded with sondes with probes and wireless sensor network-(WSN-) based monitoring system. These approaches bring several advantages over traditional monitoring systems in terms of cost, portability, and applicability. Our simulation studies show that these systems can be used to monitor water quality at drinking water reservoirs such as dams and holding ponds. Field tests to prove the effectiveness of the proposed systems are in progress.Öğe Design Strategies of Unmanned Aerial Vehicle-Aided Communication for Disaster Recovery(IEEE, 2012) Tuna, Gurkan; Mumcu, Tarik Veli; Gulez, KayhanThis paper presents a novel approach of using unmanned aerial vehicles (UAVs) to establish a communication infrastructure in case of disasters. Due to the collapse of buildings, power systems, and antennas, the collapse of communication infrastructure is the usual effect of disasters. In this study, we propose an emergency communications system established by unmanned aerial vehicles (UAVs). The system is a post-disaster solution; hence, it can be used anywhere required. In this study, first we briefly explain the details of the system in three aspects: end-to-end communication, localization and navigation, and coordination Then, we evaluate the efficiency of the localization and navigation subsystem. Our simulation studies with Air Robot quadrotor helicopters in Unified System for Automation and Robot Simulation (USARSim) simulation environment show that UAV-aided communications system can be used in case of disasters to establish an emergency communications infrastructure in terms of localization and navigation.Öğe The effects of exploration strategies and communication models on the performance of cooperative exploration(Elsevier, 2013) Tuna, Gurkan; Gulez, Kayhan; Gungor, V. CagriExploration with mobile robots is utilized in a wide range of applications including search and rescue missions, planetary exploration, homeland security; surveillance, and reconnaissance. Cooperative exploration offers the potential of exploring an unknown zone more quickly and robustly than single-robot case. However, coordinating multiple robots is a challenging task due to heterogeneous processing and communication requirements, and the complexities of exploration algorithms. This paper presents a comparison of different cooperative exploration strategies, such as frontier-based exploration, market-driven exploration, and role-based exploration, based on their exploration performances and processing time requirements. To show the effect of CPU power on the processing time of the exploration algorithms, two notebooks and a netbook with different specifications have been extensively used. Comparative simulation results of our own application developed in Java show that the processing time requirements are consistent with the computational complexities of the exploration strategies. The results we obtained are consistent with the CPU power tests of independent organizations, and show that higher processing power reduces processing time accordingly. (C) 2012 Elsevier B.V. All rights reserved.Öğe Exploration Strategy Related Design Considerations of WSN-Aided Mobile Robot Exploration Teams(Springer-Verlag Berlin, 2012) Tuna, Gurkan; Gulez, Kayhan; Gungor, Vehbi Cagri; Mumcu, Tarik VeliThis paper presents a novel approach to mobile robot exploration. In this approach, mobile robots send their local maps to the central controller and coordinate with each other using a wireless sensor network (WSN). Different from existing rendezvous point-based exploration strategies, the use of a WSN as the communication media allows quick and cost-effective exploration and mapping of an unknown environment. Overall, this paper introduces WSN-aided mobile robot exploration strategy and shows comparative performance evaluations using the Player/Stage simulation platform. Here, our main goal is to present potential advantages of WSN-aided mobile robot exploration for Simultaneous Localization and Mapping (SLAM).Öğe Lyapunov Function-Based Control of Active Power Filters to Reduce the Adverse Effects of Harmonics on Induction Motors(IEEE, 2013) Aliskan, Ibrahim; Gulez, Kayhan; Tuna, Gurkan; Kizilkaya, M. OzgurIn this study, a pulse width modulator controller inverter type active power filter is used for reducing the adverse effects of harmonics. Induction motor control system used in this study comprises a proportional-integral controller, a direct torque control algorithm, and an inverter module. Nonlinear controller algorithm proposed in this study enables setting different parameters in the controller system. Our experimental results show that more planar electromagnetic torque can be obtained by using the proposed controller-based filter than a classical controlled-based filter.Öğe Mobile Sensor Networks: Theory, Control, Communication, and Computation Issues(Hindawi Publishing Corporation, 2013) Gungor, V. Cagri; Gulez, Kayhan; Kawabata, Kuniaki; Tas, Nazif Cihan; Tuna, Gurkan[Abstract Not Available]Öğe Performance Evaluations of Next Generation Networks for Smart Grid Applications(IEEE, 2015) Tuna, Gurkan; Kaya, Esra; Gulez, Kayhan; Kiokes, George; Gungor, V. CagriSmart Grid (SG) can be described as the concept of modernizing the traditional electrical grid. Through the addition of SG technologies traditional electrical grids become more flexible, robust and interactive, and are able to provide real time feedback by employing innovative services and products together with communication, control, intelligent monitoring, and self-healing technologies. For being fully functional, utility operators deploy various SG applications to handle the key requirements including delivery optimization, demand optimization and asset optimization needs. The SG applications can be categorized into two main classes: grid-focused applications and customer-focused applications. Although these applications differ in terms of security, Quality of Service (QoS) and reliability, their common requirement is a communication infrastructure. In this paper, we focus on the use of Next Generation Networks (NGNs) for SG applications. We also present a detailed analysis of a NGN-based communication infrastructure for SG applications in terms of global network statistics and node-level statistics.Öğe PI-controlled ANN-based Energy Consumption Forecasting for Smart Grids(IEEE, 2015) Gezer, Gulsum; Tuna, Gurkan; Kogias, Dimitris; Gulez, Kayhan; Gungor, V. CagriAlthough Smart Grid (SG) transformation brings many advantages to electric utilities, the longstanding challenge for all them is to supply electricity at the lowest cost. In addition, currently, the electric utilities must comply with new expectations for their operations, and address new challenges such as energy efficiency regulations and guidelines, possibility of economic recessions, volatility of fuel prices, new user profiles and demands of regulators. In order to meet all these emerging economic and regulatory realities, the electric utilities operating SGs must be able to determine and meet load, implement new technologies that can effect energy sales and interact with their customers for their purchases of electricity. In this respect, load forecasting which has traditionally been done mostly at city or country level can address such issues vital to the electric utilities. In this paper, an artificial neural network based energy consumption forecasting system is proposed and the efficiency of the proposed system is shown with the results of a set of simulation studies. The proposed system can provide valuable inputs to smart grid applications.Öğe Unmanned Aerial Vehicle-Aided Wireless Sensor Network Deployment System for Post-disaster Monitoring(Springer-Verlag Berlin, 2012) Tuna, Gurkan; Mumcu, Tarik Veli; Gulez, Kayhan; Gungor, Vehbi Cagri; Erturk, HayrettinThis paper presents design strategies of using unmanned aerial vehicles (UAVs) to deploy wireless sensor networks (WSNs) for post-disaster monitoring. Natural disasters are unforeseeable events which cannot be prevented. But some recovery procedures can be followed to minimize their effects. Post-disaster monitoring is important to estimate the effects of disasters, which in turn is used to determine recovery procedures to be followed. We propose an UAV-aided unattended WSN deployment system. The system is a post-disaster solution which can be used anywhere required. In this study, we mainly evaluate the efficiency of localization and navigation performance of the proposed system. Our simulation studies with an AirRobot quadrotor helicopter in Unified System for Automation and Robot Simulation (USARSim) simulation platform show that UAVs can be used to deploy WSNs after disasters to monitor environmental conditions. Future work includes implementing the system using a hexarotor helicopter.Öğe Wireless Sensor Networks for Smart Grid Applications: A Case Study on Link Reliability and Node Lifetime Evaluations in Power Distribution Systems(Sage Publications Inc, 2013) Tuna, Gurkan; Gungor, V. Cagri; Gulez, KayhanRecent advances in embedded systems and wireless sensor networks (WSNs) made it possible to realize low-cost monitoring and automation systems for smart grids. This paper presents opportunities and design challenges of WSNs for smart grid applications. WSN-based smart grid applications have been introduced, and some WSN standards and communication protocols have been discussed for smart grid applications. Importantly, node lifetime and link reliability in wireless sensor networking for smart grid applications have been evaluated through case studies based on field tests in electric power system environments.Öğe WSN Aided Indoor Localization for Unmanned Vehicles(Springer-Verlag Berlin, 2012) Tuna, Gurkan; Altun, Yusuf; Mumcu, Tarik Veli; Gulez, KayhanThis paper presents design considerations of an Extended Kalman Filter (EKF) based Wireless Sensor Network (WSN) aided indoor localization for unmanned vehicles (UV). In this approach, we integrate Received Signal Strength Indicator (RSSI) measurements into an EKF based localization system. The localization system primarily uses measurements from a Laser Range Finder (LRF) and keeps track of the current position of the UV using an EKF-based algorithm. The integration of RSSI measurements at predetermined intervals improves the accuracy of the localization system. It may also prevent large drifts from the ground truth, kidnapping, and loop closure errors. Player/Stage based simulation studies were conducted to prove the effectiveness of the proposed system. The results of the comparative simulations show that integrating RSSI measurements into the localization system improves the system's accuracy.
