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Publication Metadata only A neural network model for optimal demand management contract design(2011) Nwulu, Nnamdi Ikechi; Fahrioglu, Murat; Nwulu, Nnamdi Ikechi, Department of Electrical and Electronic Engineering, Yakın Doğu Üniversitesi, Nicosia, Cyprus; Fahrioglu, Murat, Department of Energy Systems Engineering, Bahçeşehir Üniversitesi, Istanbul, TurkeyThe ever increasing need for energy efficient systems has led to various ingenious ideas about energy management. A major offshoot of this search for energy efficient solutions is demand management in power systems. The goal of any demand management program is to control the demand for electric power among customers thereby creating load relief for electric utilities and improving system security. Typically demand management contract formulations reward customers who willingly sign up for load interruption with incentives. These forms of contracts are termed incentive compatible contracts and the incentive offered the customer should exceed interruption cost and at the same time should be beneficial to the utility. There are different systems to design these kind of contracts and in the past mechanism design from Game theory, has been used in the design of such contracts. In this work we propose an artificial neural network which is trained to determine the optimal contract. The learning algorithm utilized by the artificial neural network is the back propagation learning algorithm where useful power system parameters serve as the neural networks input while the neural systems output is the contract value. Game theory's mechanism design serves as the target for results obtained from the artificial neural network. Our proposed neural system is tested on the IEEE 14 bus test system. © 2011 IEEE. © 2011 Elsevier B.V., All rights reserved.Publication Metadata only Unmanned vehicle-aided automated meter reading(2011) Tuna, Gürkan; Güngör, Vehbi Çağrı; Gülez, Kayhan; Tuna, Gürkan, Department of Computer Programming, Trakya Üniversitesi, Edirne, Turkey; Güngör, Vehbi Çağrı, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Gülez, Kayhan, Control and Automation Engineering Department, Yıldız Teknik Üniversitesi, Istanbul, TurkeyThis paper presents a novel approach of using unmanned vehicles for Automated Meter Reading (AMR) applications in rural areas where there are a few consumers scattered around a wide area. The proposed system does not require a fixed network infrastructure to transfer data to a central database, since data collection is carried out by unmanned vehicles. Compared to traditional meter reading systems, the use of unmanned vehicles for AMR brings several advantages, such as low cost operation, flexibility, and online system management. However, the realization of these potential gains directly depends on reliable communication capabilities of the deployed system and successful navigation of unmanned vehicles. Overall, in this paper, the design principles and challenges of using unmanned vehicles for AMR applications in rural areas have been presented. Also, the communication architecture of the proposed system has been explained and comparative simulation studies have been performed in terms of energy efficiency and navigation accuracy. © 2011 IEEE. © 2012 Elsevier B.V., All rights reserved.Publication Metadata only Mobile robot aided self-deploying wireless sensor networks for radiation leak detection(2012) Tuna, Gürkan; Gülez, Kayhan; Mumcu, Tarik Veli; Güngör, Vehbi Çağrı; Tuna, Gürkan, Department of Computer Programming, Trakya Üniversitesi, Edirne, Turkey; Gülez, Kayhan, Department of Control and Automation Engineering, Yıldız Teknik Üniversitesi, Istanbul, Turkey; Mumcu, Tarik Veli, Department of Control and Automation Engineering, Yıldız Teknik Üniversitesi, Istanbul, Turkey; Güngör, Vehbi Çağrı, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, TurkeyThis paper presents a mobile robot aided self deploying wireless sensor network aiming to detect radiation leaks and to measure radiation levels, and explains design considerations to prolong network life. Special attention is given to the factors which are important for the specific requirements of radiation leak detection. Wireless sensor networks (WSNs) provide numerous benefits to applications with low duty cycle, such as environmental monitoring, event detection, etc. However, the realization of these potential benefits directly depends on energy efficient and reliable communication and coordination capabilities of the deployed system. In this study, challenges of WSNs, deployment strategies using mobile robots, and energy harvesting techniques to maximize lifetime of WSNs are discussed. Also, a comparison of two different exploration strategies is shown with the results of our own application developed in C#. Main contributions of this study are discussions on mobile robot aided WSN deployment strategies and energy harvesting techniques to maximize WSN lifetime. © 2012 IEEE. © 2012 Elsevier B.V., All rights reserved.Publication Metadata only Energy efficiency in DF relay networks, Çöz-Ilet Aktarma Aǧlarinda Enerji Verimlilig ̌i(2013) Saimler, Merve; Soysal, Alkan; Saimler, Merve, Bahçeşehir Üniversitesi, Istanbul, Turkey; Soysal, Alkan, Bahçeşehir Üniversitesi, Istanbul, TurkeyEnergy efficiency in wireless networks has taken an important role in recent years due to the global climate change and growing demand for higher data rates. Cooperative communications might be efficient in improving coverage of a cell whereas it can also contribute to the energy efficiency of wireless systems with the help of its distributed structure. Improving the energy efficiency of a wireless system by using cooperative communications is the main objective of this paper. We analyze deployment strategies for decode-And-forward (DF) networks in order to minimize the power consumption of a cell. Deployment strategies include choosing relay locations and finding the optimum number of relays. We conclude by showing the effect of using a relay in a cellular system as opposed to direct transmission in terms of energy efficiency. © 2013 IEEE. © 2013 Elsevier B.V., All rights reserved.Publication Metadata only Energy efficiency in DF and AF relay networks, Çöz-ilet ve yükselt-ilet aktarma aǧlarinda enerji verimliliǧi(IEEE Computer Society [email protected], 2014) Saimler, Merve; Soysal, Alkan; Saimler, Merve, Bahçeşehir Üniversitesi, Istanbul, Turkey; Soysal, Alkan, Bahçeşehir Üniversitesi, Istanbul, TurkeyEnergy efficiency in wireless networks has taken an important role in recent years due to the global climate change and growing demand for higher data rates. Cooperative communications might be efficient in improving coverage of a cell whereas it can also contribute to the energy efficiency of wireless systems with the help of its distributed structure. Improving the energy efficiency of a wireless system by using cooperative communications is the main objective of this paper. We analyze deployment strategies for decode-and-forward (DF) and amplify-and-forward (AF) networks in order to minimize the power consumption of a cell. Deployment strategies include choosing relay locations and finding the optimum number of relays. We conclude by showing the effect of using a relay in a cellular system as opposed to direct transmission in terms of energy efficiency. © 2014 IEEE. © 2014 Elsevier B.V., All rights reserved.Publication Metadata only Privacy preserving smart grid management in the cloud(Institute of Electrical and Electronics Engineers Inc., 2014) Baktir, S.; Baktir, S., Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, TurkeyThe smart grid is a decent idea for improving energy efficiency, however its functionality requires frequent exchange and processing of household electricity consumption data. On the other hand, the exchange of high frequency household electricity consumption data may reveal private personal information such as when a person is at home, when she goes to bed, what time she wakes up and even which household appliances she uses. The privacy of this sensitive data should be protected even from the utility company. Furthermore, utility companies may consider outsourcing their smart grid data communication and processing tasks to the cloud to avoid the cost of investments on infrastructure. In such a scenario, protecting the privacy of sensitive user electricity consumption data, transmitted in a public network, would become even more critical. We address this issue by proposing a secret-sharing scheme that allows for private distribution and processing of user electricity consumption data in the cloud. © 2015 Elsevier B.V., All rights reserved.Publication Metadata only Performance evaluation of background subtraction algorithms for Android devices deployed in Wireless Multimedia Sensor Networks(Institute of Electrical and Electronics Engineers Inc., 2014) Boluk, Pinar Sarisaray; Akkaya, Kemal; Boluk, Pinar Sarisaray, Department of Software Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Akkaya, Kemal, College of Engineering, Computing, Technology, and Mathematics, Carbondale, United StatesWith the increased use of smart phones, Wireless Multimedia Sensor Networks (WMSNs) will have opportunities to deploy such devices in several contexts for data collection and processing. While smart phones come with richer resources and can do complex processing, their battery is still limited. Therefore, data reduction techniques can be used on these devices to reduce energy consumption. One of the common techniques for energy reduction is background subtraction, which has been used for camera sensors in WMSNs. In this paper, we investigate the performance of various BS algorithms on Android devices in terms of computation and communication energy, time and quality. To this end, we picked five different BS algorithms and implemented them in an Android platform. Considering the fact that these BS algorithms will be run within the context of WMSNs where the data is subject to packet losses and errors, we also investigated the performance in terms of packet loss ratio in the network under various packet sizes. The experiment results indicated that the most energy-efficient BS algorithm could also provide the best quality in terms of the foreground detected. The results also indicate that BS algorithms can provide significant energy savings in terms of transmission energy costs. © 2021 Elsevier B.V., All rights reserved.Publication Metadata only Seamless mobile data offloading in Heterogeneous Wireless Networks based on IEEE 802.21 and user experience(Institute of Electrical and Electronics Engineers Inc., 2014) Tüzünkan, Firat A.; Güngör, Vehbi Çağrı; Zeydan, Engin; Ileri, Ömer; Ergüt, Salih; Tüzünkan, Firat A., Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey; Güngör, Vehbi Çağrı, Department of Computer Engineering, Abdullah Gül Üniversitesi, Kayseri, Turkey; Zeydan, Engin, AveaLabs, Istanbul, Turkey; Ileri, Ömer, AveaLabs, Istanbul, Turkey; Ergüt, Salih, AveaLabs, Istanbul, TurkeyThe increase on smartphone usage has brought the burden of data traffic with it. Operators are looking for cost-effective solutions to overcome the problem of 3G infrastructure for high contention traffic scenarios. Several schemes were offered to save the moment, and they brought some extra costs including deploying femtocell or WiMax, LTE, LTE-Advanced systems along with their expensive equipment. On the other hand, operators are expanding their networks with 802.11 technologies such that they can exploit the free-band communication. Meaning the data traffic can handover between WLAN and UMTS interchangeably. By using NS-2 simulator, we implemented IEEE 802.21 WG's Media Independent Handover (MIH) module by combining with Channel Quality Indicator (CQI) values collected from user equipment (UE) and observed a recovered throughput for both medium. We found that there is a tradeoff among energy efficiency, delay tolerance and cost. Furthermore, in this study, we integrated a Quality of Experience (QoE) metric during real-time handover decision process so that with this type of collaborative solution, an operator will be unique in terms of user happiness and heterogeneous network management. © 2021 Elsevier B.V., All rights reserved.Publication Metadata only Wireless sensor network-based communication for cooperative simultaneous localization and mapping(Elsevier Ltd, 2015) Tuna, Gürkan; Güngör, Vehbi Çağrı; Potirakis, Stelios M.; Zeadally, Sherali; Tuna, Gürkan, Department of Computer Programming, Trakya Üniversitesi, Edirne, Turkey; Güngör, Vehbi Çağrı, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey, Department of Computer Engineering, Abdullah Gül Üniversitesi, Kayseri, Turkey, Akademi Ar-GeYazilim Ve Muhendislik, Erciyes Teknopark, Kayseri, Turkey; Potirakis, Stelios M., Department of Electronics Engineering, University of West Attica, Athens, Greece; Zeadally, Sherali,This paper presents a novel approach of using a Wireless Sensor Network (WSN) as the communication means for Multi-Robot, Cooperative, Simultaneous Localization and Mapping (CSLAM) applications investigating the associated design challenges and suggesting corresponding solutions. Although the proposed approach brings several benefits including an increased coverage and communication range, self-organization capabilities, quick deployment, and flexible architecture, the realization is interrelated with performance in terms of energy efficiency and reliability. In this respect, the applicability of the WSNs for the presented approach is investigated. Centralized and distributed map merging methods in WSN-based CSLAM are evaluated in detail and the impacts of packet delays and losses on the performance of CSLAM algorithms are shown. Additionally, the involved network congestion and contention dynamics are presented, while the effects of observation range, speed, time intervals between observations, and odometry readings on the SLAM accuracy are shown based on an extensive set of simulation studies. © 2020 Elsevier B.V., All rights reserved.Publication Metadata only Energy efficient microcell deployment for HetNets, HetNet'lerde Enerji Verimli Mikro Hücre Yerleşimi(Institute of Electrical and Electronics Engineers Inc., 2015) Demirtaş, Mahmut; Soysal, Alkan; Demirtaş, Mahmut, Elektrik Ve Elektronik Mühendisliʇi Bölümü, Bahçeşehir Üniversitesi, Istanbul, Turkey; Soysal, Alkan, Elektrik Ve Elektronik Mühendisliʇi Bölümü, Bahçeşehir Üniversitesi, Istanbul, TurkeyDue to growing power consumption and data-rate demand in cellular networks, it is crucial to design the future networks with energy and spectral efficient strategies. Using heterogeneous networks (HetNets) is one possible way of improving energy and spectral efficiency in cellular networks. In this paper, under a coverage constraint, we consider deploying strategies of low power microcells in order to improve the energy and area spectral efficiencies of the conventional macrocell only cellular network. We observe that deploying microcells while keeping the coverage area the same, increases both energy and spectral efficiencies. Finally, we conclude that it is possible to determine a range of inter site distance (ISD) that maximizes the energy efficiency while providing the required traffic demand. © 2021 Elsevier B.V., All rights reserved.