Researcher:
Biçen, Ahmet Ozan

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Master Student

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Ahmet Ozan

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Biçen

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Biçen, Ahmet Ozan

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2011 - 20179

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Now showing 1 - 9 of 9
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    Cognitive radio sensor networks in industrial applications
    (CRC Press, 2017) N/A; Department of Electrical and Electronics Engineering; Biçen, Ahmet Ozan; Akan, Özgür Barış; Master Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 6647
    This chapter explains the benefits of cognitive radio sensor networks (CRSN) in industrial applications and discusses the open research directions for this promising research area. It also discusses the CRSN architecture configurations in industrial applications. The chapter presents the algorithm needs of CRSN for spectrum management in industrial applications. It provides the open research issues on communication protocol development for CRSN in industrial applications. Minimization of environmental effects, adaptation to varying spectrum conditions, and overlay deployment of multiple sensor networks are some of the promising advantages of CRSN in industrial applications. However, the realization of CRSN in industrial applications mainly requires efficient spectrum management functionalities to dynamically manage the spectrum access of sensor nodes in challenging industrial communication environments. Requirements and research challenges for main three spectrum management functionalities of cognitive radio, that is, spectrum sensing, spectrum decision, and spectrum mobility, are explored below for CRSN from the perspective of industrial applications.
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    Energy-efficient RF source power control for opportunistic distributed sensing in wireless passive sensor networks
    (IEEE, 2012) N/A; Department of Electrical and Electronics Engineering; Biçen, Ahmet Ozan; Akan, Özgür Barış; Master Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 6647
    Energy limitation of sensor nodes is the main constraint to be addressed while designing and implementing algorithms for wireless sensor networks (WSN). Recently, to mitigate battery depletion problem and extend network lifetime, wireless passive sensor networks (WPSN) have become a new field of interest. Modulated backscattering is an important communication technique for WPSN to enable unlimited lifetime for sensor nodes. Determination of required number and power level of RF sources for wireless power transfer to sensor nodes is crucial for energy-efficient distributed sensing operation. Furthermore, deployed RF sources can share spectrum opportunistically via incorporation of cognitive radio capability such that desired distributed estimation distortion can be achieved with minimum spectrum utilization by WPSN. Employment of RF sources that radiate power only when spectrum opportunities are available unveils passive opportunistic distributed sensing (PODS). in this paper, first, we model intercepted power by passive sensor from RF sources and reflected power by passive sensor at the sink, and effect of opportunistic access to licensed spectrum bands on instantaneous throughput of sensor nodes. then, A power level control scheme for RF sources is proposed to achieve desired distortion level with minimum energy consumption while using opportunistic distributed sensing in WPSN. achieved estimation distortion at sink with respect to number and power level of RF sources, and available spectrum opportunities is investigated, and energy saving provided by proposed power control scheme is assessed for various distortion requirements, channel noise levels, and available spectrum opportunities via simulation experiments.
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    Spectrum-aware underwater networks cognitive acoustic communications
    (IEEE-Inst Electrical Electronics Engineers Inc, 2012) Asaf Behzat; Akan; N/A; Department of Electrical and Electronics Engineering; Biçen, Ahmet Ozan; Akan, Özgür Barış; Master Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 6647
    In this article, CAC to empower SUN inspiring from CR paradigm in wireless terrestrial communications is proposed. Spectrum scarcity in UAC due to the uniquely challenging underwater acoustic spectrum is discussed, and the need for spectrum-aware communication techniques is pointed out. We explore the capacity gain that can be achieved via CAC in SUN by simulation experiments and investigate the advantages and limitations of SUN along with its tradeoffs for DSA and OSA separately. Clearly, SUN can reach higher capacities than traditional fixed-spectrum approaches with the help of CAC capability. We expect that this article will provide better recognition for the capabilities of SUN and actuate further research efforts to explore this favorable area.
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    RF power source and estimation diversity in distributed sensing with passive wireless communications
    (IEEE, 2011) Department of Electrical and Electronics Engineering; N/A; Akan, Özgür Barış; Biçen, Ahmet Ozan; Faculty Member; Master Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; 6647; N/A
    Sensor nodes constitute a distributed wireless sensing architecture, such that, multiple sensors report their observations. However, sensor networks are comprised of energy-constrained nodes. Therefore, there have been many efforts to devise energy-efficient communication algorithms for sensor networks to achieve reliable and energy-efficient distributed wireless sensing. Recently, to mitigate battery depletion problem and extend network lifetime, wireless passive sensor networks (WPSN) have become a new field of interest. Modulated backscattering is an important communication technique in WPSN to alleviate reaching unlimited lifetime for sensor nodes. In this paper, we theoretically analyze event distortion in WPSN that is employing modulated backscattering for communication. First, we model backscattered power by sensor nodes at RF sources using log-normal channel model. Then, using the backscattered power gain of sensor nodes, the mean square error of estimated signal is analyzed for various number of RF sources and power levels in WPSN. The objective of this work is to reveal the impact of RF source diversity on event estimation distortion in WPSN. © 2011 IEEE.
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    PublicationOpen Access
    Reliability and congestion control in cognitive radio sensor networks
    (Elsevier, 2011) Biçen, Ahmet Ozan; Akan, Özgür Barış; Master Student; Faculty Member; College of Engineering
    Communication requirements for cognitive radio sensor networks (CRSN) necessitate addressing the problems posed by dynamic spectrum access (DSA) in an inherently resource-constrained sensor networks regime. In this paper, arising challenges for reliability and congestion control due to incorporation of cognitive radio capability into sensor networks are investigated along with the open research issues. Impact of DSA, i.e., activity of licensed users, intermittent spectrum sensing and spectrum handoff functionalities based on spectrum availability, on the performance of the existing transport protocols are inspected. The objective of this paper is to point out the urgent need for a novel reliability and congestion control mechanism for CRSN. To this end. CRSN challenges for transport layer are revealed and simulation experiments are performed to demonstrate the performance of the existing transport protocols in CRSN.
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    PublicationOpen Access
    Spectrum-aware and cognitive sensor networks for smart grid applications
    (Institute of Electrical and Electronics Engineers (IEEE), 2012) Güngör, V. Çağrı; Department of Electrical and Electronics Engineering; Biçen, Ahmet Ozan; Akan, Özgür Barış; Master Student; Faculty Member; Department of Electrical and Electronics Engineering; College of Engineering
    Recently, wireless sensor networks have been considered as an opportunity to realize reliable and low-cost remote monitoring systems for smart grid. However, interference due to nonlinear electric power equipment and fading as a result of obstacles in various smart grid environments from generation to end-user sides make realization of reliable and energy-efficient communication a challenging task for WSNs in smart grid. In this article, spectrum-aware and cognitive sensor networks (SCSNs) are proposed to overcome spatio-temporally varying spectrum characteristics and harsh environmental conditions for WSN-based smart grid applications. Specifically, potential advantages, application areas, and protocol design principles of SCSN are introduced. The existing communication protocols and algorithms devised for dynamic spectrum management networks and WSNs are discussed along with the open research issues for the fulfillment of SCSNs. A case study is also presented to reveal the reliable transport performance in SCSNs for different smart grid environments. Lastly, different energy harvesting techniques for SCSN-based smart grid applications are reviewed. Here, our goal is to envision potentials of SCSNs for reliable and low-cost remote monitoring solutions for smart grid.
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    PublicationOpen Access
    Delay-sensitive and multimedia communication in cognitive radio sensor networks
    (Elsevier, 2012) Güngör, V. Çağrı; Biçen, Ahmet Ozan; Akan, Özgür Barış; Master Student; Faculty Member; College of Engineering
    Multimedia and delay-sensitive data applications in cognitive radio sensor networks (CRSN) require efficient real-time communication and dynamic spectrum access (DSA) capabilities. This requirement poses emerging problems to be addressed in inherently resource-constrained sensor networks, and needs investigation of CRSN challenges with real-time communication requirements. In this paper, the main design challenges and principles for multimedia and delay-sensitive data transport in CRSN are introduced. The existing transport protocols and algorithms devised for cognitive radio ad hoc networks and wireless sensor networks (WSN) are explored from the perspective of CRSN paradigm. Specifically, the challenges for real-time transport in CRSN are investigated in different spectrum environments of smart grid, e.g., 500 kV substation, main power room and underground network transformer vaults. Open research issues for the realization of energy-efficient and real-time transport in CRSN are also presented. Overall, the performance evaluations provide valuable insights about real-time transport in CRSN and guide design decisions and trade-offs for CRSN applications in smart electric power grid.
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    PublicationOpen Access
    Energy-efficient RF source power control for opportunistic distributed sensing in wireless passive sensor networks
    (Institute of Electrical and Electronics Engineers (IEEE), 2012) Biçen, Ahmet Ozan; Akan, Özgür Barış; Master Student; Faculty Member; College of Engineering
    Energy limitation of sensor nodes is the main constraint to be addressed while designing and implementing algorithms for wireless sensor networks (WSN). Recently, to mitigate battery depletion problem and extend network lifetime, wireless passive sensor networks (WPSN) have become a new field of interest. Modulated backscattering is an important communication technique for WPSN to enable unlimited lifetime for sensor nodes. Determination of required number and power level of RF sources for wireless power transfer to sensor nodes is crucial for energy-efficient distributed sensing operation. Furthermore, deployed RF sources can share spectrum opportunistically via incorporation of cognitive radio capability such that desired distributed estimation distortion can be achieved with minimum spectrum utilization by WPSN. Employment of RF sources that radiate power only when spectrum opportunities are available unveils passive opportunistic distributed sensing (PODS). In this paper, first, we model intercepted power by passive sensor from RF sources and reflected power by passive sensor at the sink, and effect of opportunistic access to licensed spectrum bands on instantaneous throughput of sensor nodes. Then, a power level control scheme for RF sources is proposed to achieve desired distortion level with minimum energy consumption while using opportunistic distributed sensing in WPSN. Achieved estimation distortion at sink with respect to number and power level of RF sources, and available spectrum opportunities is investigated, and energy saving provided by proposed power control scheme is assessed for various distortion requirements, channel noise levels, and available spectrum opportunities via simulation experiments.
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    PublicationOpen 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 Engineering
    To 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.