Researcher: Pehlivanoğlu, Ecehan Berk
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Pehlivanoğlu, Ecehan Berk
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Publication Metadata only Multimedia commmmunication in cognitive radio ad HOC and sensor networks(CRC Press, 2015) Department of Electrical and Electronics Engineering; N/A; N/A; Akan, Özgür Barış; Özger, Mustafa; Pehlivanoğlu, Ecehan Berk; Faculty Member; PhD Student; PhD Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; 6647; N/A; N/ASmall and low-cost sensor nodes are available, thanks to developments in micro-electro-mechanical systems (MEMS) technology. These sensor nodes have irreplaceable batteries and they are deployed in specific regions of interest. The deployment of these sensor nodes forms wireless ad hoc networks, namely wireless sensor networks (WSNs). The application areas of these networks are environmental or habitat monitoring, military surveillance, medical applications, multimedia applications, and so forth. The sensor nodes sense the environment-heat, pressure, sound, light, or motion depending on the application-and form packets related to the observations. The sensor nodes collaborate with each other to convey these packets in a multihop manner to a base station or sink.Publication Metadata only Modulation in molecular communications: a look on methodologies(Springer, 2017) N/A; N/A; N/A; Department of Electrical and Electronics Engineering; Pehlivanoğlu, Ecehan Berk; Ünlütürk, Bige Deniz; Akan, Özgür Barış; PhD Student; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; 6647Nanonetworking is a recently proposed paradigm that aims to achieve collaboration between nanomachines to carry out complex tasks. Molecular communications has been the most vibrant area of research for nanonetworking, mostly because of its feasibility and existence of communication schemes similar to molecular communications in nature. In molecular communications, two nanomachines communicate with each other via propagation of molecules from the transmitter to the receiver nanomachines through the medium they reside in. How and where to encode the message, i.e. modulation, plays a key role in molecular communications since it greatly affects the communication performance at nanoscale. To this end, in this paper, we examine the landscape of modulation in molecular communications, categorize the modulation schemes in molecular communications by methodology and discuss how convenient they are in terms of synchronization requirements in a nanoscale environment and their biocompatibility for applications inside human body.Publication Metadata only Sensing coverage and connectivity in cognitive radio sensor networks(IGI Global, 2015) Department of Electrical and Electronics Engineering; N/A; N/A; Akan, Özgür Barış; Özger, Mustafa; Pehlivanoğlu, Ecehan Berk; Faculty Member; PhD Student; PhD Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; 6647; N/A; N/ASensing coverage of a field of interest and connectivity are two very important performance measures in Wireless Sensor Networks (WSNs). Existing design methodologies and protocols for enhanced field sensing coverage and connectivity in WSNs are not directly applicable to Cognitive Radio Sensor Networks (CRSNs) due to their cognitive nature. In this chapter, the authors first review sensing coverage and connectivity models for traditional WSNs. Then, they propose novel approaches for sensing coverage and connectivity establishment in CRSN, benefiting from useful existing models from WSN and Cognitive Radio Ad Hoc Networks (CRAHNs). Proposed approaches span a wide variety of CRSN requirements and also point out open research problems in the field to guarantee sufficient sensing coverage quality and connectivity in CRSN. © 2016, IGI Global. All rights reserved.Publication Metadata only Molecular channel model with multiple bit carrying molecules(IEEE, 2013) N/A; N/A; Department of Electrical and Electronics Engineering; Ünlütürk, Bige Deniz; Pehlivanoğlu, Ecehan Berk; Akan, Özgür Barış; PhD Student; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; 6647Molecular communication is a bio-inspired paradigm, proposed to communicate nanomachines via diffusion of molecules through an aqueous medium. the type and structure of the molecules to be propagated bear great importance since they directly affect the modulation structure of molecular communication. We propose a messenger-based molecular communication model where information is encoded on the atoms of polyethylene molecules in the form of CH3(CHX)(n)CH2F, where X is either an H or F atom, representing 0 and 1 bits, respectively. the encoded polyethylene molecules are released from the transmitter nanomachine, and their propagation towards the receiver is modelled as a Brownian Motion. Using an erasure channel model, our analysis focuses on calculating the capacity of this channel and revealing the parameters affecting it such as molecule size and number of redundant molecules for one transmission.Publication Metadata only Multimedia communication in cognitive radio ad hoc and sensor networks(Crc Press-Taylor & Francis Group, 2016) N/A; N/A; N/A; Department of Electrical and Electronics Engineering; Özger, Mustafa; Pehlivanoğlu, Ecehan Berk; Akan, Özgür Barış; PhD Student; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; 6647N/APublication Metadata only Harvesting-throughput trade-off for wireless-powered smart grid IoT applications: an experimental study(Institute of Electrical and Electronics Engineers (IEEE), 2018) Akan, Özgür Barış; N/A; N/A; Department of Electrical and Electronics Engineering; Department of Electrical and Electronics Engineering; Pehlivanoğlu, Ecehan Berk; Özger, Mustafa; Çetinkaya, Oktay; PhD Student; PhD Student; Researcher; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; College of Engineering; N/A; N/A; N/A; 6647Sensor nodes, one of the most crucial elements of Internet of Things (IoT), sense the environment and send their observations to a remote Access Point (AP). One drawback of sensor nodes in an IoT setting is their limited battery supply. Hereby, energy harvesting (EH) stands as a promising solution to reduce or even completely eliminate lifetime constraints of sensors with exploitation of available resources. In this paper, we propose an electric-field EH (EFEH) method to enable battery-less execution of sensor-based IoT services for Smart Grid (SG) context. For this purpose, for the first time in the literature, harvestable energy through EFEH method is investigated with a transformer room experimental set-up. Our experiments reveal that 40 mJ of energy can be harvested in a period of 900 sec with the proposed EFEH method. Building on this energy profile, we define a throughput objective function θ for a «harvest-then-transmit» type system model, to shed light on the harvesting- throughput trade-off specific to IoT-assisted SG applications. Numerical results disclose non- trivial relationships between optimal harvesting period T-H, optimal transmission period T-T and critical network parameters such as node-AP hop distance, path loss exponent and minimum reporting frequency requirement.Publication Open Access Molecular channel model with multiple bit carrying molecules(Institute of Electrical and Electronics Engineers (IEEE), 2013) Ünlütürk, Bige Deniz; Pehlivanoğlu, Ecehan Berk; Akan, Özgür Barış; PhD Student; Faculty Member; College of EngineeringMolecular communication is a bio-inspired paradigm, proposed to communicate nanomachines via diffusion of molecules through an aqueous medium. The type and structure of the molecules to be propagated bear great importance since they directly affect the modulation structure of molecular communication. We propose a messenger-based molecular communication model where information is encoded on the atoms of polyethylene molecules in the form of CH3(CHX)(n)CH2F, where X is either an H or F atom, representing 0 and 1 bits, respectively. The encoded polyethylene molecules are released from the transmitter nanomachine, and their propagation towards the receiver is modelled as a Brownian Motion. Using an erasure channel model, our analysis focuses on calculating the capacity of this channel and revealing the parameters affecting it such as molecule size and number of redundant molecules for one transmission.Publication Open Access Energy-efficient transmission range and duration for cognitive radio sensor networks(Institute of Electrical and Electronics Engineers (IEEE), 2021) Özger, M.; Department of Electrical and Electronics Engineering; Akan, Özgür Barış; Pehlivanoğlu, Ecehan Berk; Faculty Member; PhD Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; 6647; N/ACognitive Radio (CR) promises an efficient utilization of radio spectrum resources by enabling dynamic spectrum access to overcome the spectrum scarcity problem. Cognitive Radio Sensor Networks (CRSNs) are one type of Wireless Sensor Networks (WSNs) equipped with CR capabilities. CRSN nodes need to operate energy-efficiently to extend network lifetime due to their limited battery capacity. In this paper, for the first time in literature, we formulate the problem of finding a common energy-efficient transmission range and transmission duration for all CRSN nodes and network deployment that would minimize the energy consumed per goodput per meter toward the sink in a greedy forwarding scenario. Results reveal non-trivial relations for energy-efficient CRSN transmission range and duration as a function of nine critical network parameters such as primary user activity levels. These relations provide valuable insights for detailed CRSN designs prior to deployment.Publication Open Access Dedicated radio utilization for spectrum handoff and efficiency in cognitive radio networks(Institute of Electrical and Electronics Engineers (IEEE), 2015) Galmes, Sebastia; Biçen, Ahmet Ozan; Pehlivanoğlu, Ecehan Berk; Akan, Özgür Barış; Master Student; PhD Student; Faculty Member; College of EngineeringTo perform spectrum handoff, cognitive radio (CR) nodes communicating with each other need to exchange licensed user detection information, i.e., perform spectrum coordination, over a common control channel. The spectrum coordination can be fulfilled either via existing cognitive radio interface with time division or via a separate dedicated radio, i.e., a common control interface (CCI), continuously. CR nodes with CCI can instantly exchange licensed user detection information and cease frame transmission, while spectrum coordination can only be performed after the frame transmission period without CCI. Nevertheless, the impact of CCI incorporation into CR nodes in terms of common performance metrics must be thoroughly assessed to evaluate the worthiness of additional radio cost. In this paper, an analytical framework is presented to assess the impact of CCI incorporation into CR nodes for spectrum handoff. The developed framework enables analyzing potential benefits and disadvantages of employing CCI for spectrum handoff, in terms of achievable delay, energy consumption, spectrum utilization and event estimation performance. Extensive performance evaluations are presented to illustrate the impact of CCI utilization on efficiency of spectrum handoff. The network and communication regimes that would yield having CCI favorable are characterized in terms of spectrum conditions and CR parameters.