Researcher:
Özger, Mustafa

Profile Picture
ORCID

Job Title

PhD Student

First Name

Mustafa

Last Name

Özger

Name

Name Variants

Özger, Mustafa

Email Address

Birth Date

Filters

2013 - 202023

Advanced Search

Filter by

Settings

Researcher Of Publications: search.filters.isAuthorOfPublication.784494c4-65ea-4ff1-a9d3-049b1da76b15

Search Results

Now showing 1 - 10 of 23
  • Placeholder
    PublicationMetadata only
    Vehicular social sensor networks
    (CRC Press, 2017) N/A; N/A; Department of Electrical and Electronics Engineering; Çepni, Kardelen; Özger, Mustafa; 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; 6647
    N/A
  • Placeholder
    PublicationMetadata only
    Maximization of energy-efficiency under convergence constraint in wireless networked control systems
    (Ieee, 2015) N/A; N/A; Department of Electrical and Electronics Engineering; Özger, Mustafa; Akan, Özgür Barış; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 6647
    Wireless networked control system (WNCS) is a control system that a wireless network closes the control loop. WNCS estimator, i. e., Kalman filter, estimates the system state according to the observations of sensors. These observations which are from N independent subnetworks are conveyed to the Kalman filter through vacant bands opportunistically with cognitive radio capability of the nodes. We characterize the successful packet delivery probability and study the maximization of energy-efficiency of overall system under the convergence constraint of the Kalman filter by defining an optimization problem. We also find a lower bound on maximum total coverage area. Furthermore, we perform numerical analysis to observe the effects of system parameters such as number of subnetworks, average ON probability of primary users, transmission ranges and densities of sensor nodes and primary users, and false alarm probability.
  • Placeholder
    PublicationMetadata only
    Crowdsourcing-based mobile network tomography for xG wireless systems
    (Ieee, 2016) Ateş, Ahmet F.; N/A; N/A; N/A; Department of Electrical and Electronics Engineering; Dinç, Ergin; Özger, Mustafa; Delibalta, İbrahim; Akan, Özgür Barış; PhD Student; PhD Student; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; Collage of Engineering; N/A; N/A; N/A; 6647
    Network size and number of mobile users are ever-increasing with the advancements in cellular network technologies. Hence, this situation makes the network monitoring highly complex. Although there are numerous network tomography approaches, service providers need real-time network monitoring tools to provide better network utilization. In this paper, we propose a crowdsourcing-based real-time network tomography framework. In the proposed framework, channel condition and user data usage are monitored via an application at the mobile terminals, and then the mobile terminals transmit their data to the server. In this way, the network and user behavior can be continuously monitored, and real-time actions can be implemented to improve the network performance. By using the proposed framework, we propose an optimization framework for the amount and reporting frequency of the transmitted data to avoid battery drain at the mobile terminal and network congestion. At the end, we provide simulation results for the proposed optimization framework.
  • Placeholder
    PublicationMetadata 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/A
    Small 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.
  • Placeholder
    PublicationMetadata only
    Energy-harvesting cognitive radios in smart cities
    (John Wiley and Sons Ltd, 2019) N/A; N/A; Department of Electrical and Electronics Engineering; Department of Electrical and Electronics Engineering; Özger, Mustafa; Çetinkaya, Oktay; Akan, Özgür Barış; PhD Student; Researcher; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; College of Engineering; N/A; N/A; 6647
    N/A
  • Placeholder
    PublicationMetadata only
    Energy neutral internet of drones
    (Institute of Electrical and Electronics Engineers (IEEE), 2018) Long, Teng; Akan, Özgür Barış; N/A; Department of Electrical and Electronics Engineering; Özger, Mustafa; Çetinkaya, Oktay; PhD Student; Researcher; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A
    Extensive use of amateur drones (ADrs) poses a threat to the public safety due to their possible misuse. Hence, surveillance drones (SDrs) are utilized to detect and eliminate potential threats. However, limited battery, and lack of efficient communication and networking solutions degrade the quality of surveillance. To this end, we conceptualize the Energy Neutral Internet of Drones (enIoD) to enable enhanced connectivity between drones by overcoming energy limitations for autonomous and continuous operation. Power provisioning with recharging stations is introduced by wireless power transfer to energize the drones. Renewable energy harvesting is utilized to realize energy neutrality, which is minimization of deficit in harvested and consumed energy in enIoD. Communication and networking architectures and protocols for realization of multi-dimensional objectives are presented. Finally, possible application areas are explained with a case study to show how enIoD operates.
  • Placeholder
    PublicationMetadata 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/A
    Sensing 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.
  • Placeholder
    PublicationMetadata only
    On the maximum coverage area of wireless networked control systems under stability and cost-efficiency constraints
    (IEEE, 2013) N/A; N/A; N/A; Department of Electrical and Electronics Engineering; Kılınç, Deniz; Özger, Mustafa; 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; 6647
    The integration of wireless communication and control systems revealed wireless networked control systems (WNCSs). One fundamental problem in WNCSs is to have a wide coverage area. For the first time in the literature, we address this problem and we obtain the maximum coverage area by solving an optimization problem. In this paper, we consider a WNCS where the output sensor measurements are transmitted over separate multi-hop wireless ad-hoc subnetworks. The system state is estimated using the Kalman filter. We present the critical arrival probability for a sensor measurement packet such that if the packet arrival probability is larger than the critical value, it is guaranteed that the expected state estimation error covariance is bounded, and hence the WNCS is stable. We find the optimum hop-diameter of a multi-hop wireless ad-hoc subnetwork under the constraints of both the stability of the WNCS and the cost-efficiency of the multi-hop wireless network. Furthermore, under these constraints, we derive the maximum total coverage area of the wireless subnetworks. The numerical analyses show that the maximum total coverage area can be increased by appropriately adjusting the number of sensors, the successful packet transmission probability between relay nodes, and the eigenvalues of the system matrix.
  • Placeholder
    PublicationMetadata only
    Event-driven spectrum-aware clustering in cognitive radio sensor networks
    (IEEE, 2013) N/A; N/A; Department of Electrical and Electronics Engineering; Özger, Mustafa; Akan, Özgür Barış; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 6647
    Wireless sensor networks (WSN) with dynamic spectrum access (DSA) capability, namely cognitive radio sensor networks (CRSN), is a promising solution for spectrum scarcity problem. Despite improvement in spectrum utilization by DSA capability, energy-efficient solutions for CRSN are required due to resource-constrained nature of CRSN inherited from WSN. Clustering is an efficient way to decrease energy consumption. Existing clustering approaches for WSN are not applicable in CRSN and existing solutions for cognitive radio networks are not suitable for sensor networks. In this paper, we propose an event-driven clustering protocol which forms temporal cluster for each event in CRSN. Upon detection of an event, we determine eligible nodes for clustering according to local position of nodes between event and sink. Cluster-heads are selected among eligible nodes according to node degree, available channels and distance to the sink in their neighborhood. They select one-hop members for maximizing the number of two-hop neighbors that are accessible by one-hop neighbors through cluster channels to increase connectivity between clusters. Clusters are between event and sink and are no longer available after the end of the event. This avoids energy consumption due to unnecessary cluster formation and maintenance overheads. Performance evaluation reveals that our solution is energy-efficient with a delay due to spontaneous cluster formation.
  • Placeholder
    PublicationMetadata only
    Internet of energy harvesting cognitive radios
    (Springer Nature, 2020) Department of Electrical and Electronics Engineering; Department of Electrical and Electronics Engineering; N/A; Akan, Özgür Barış; Çetinkaya, Oktay; Özger, Mustafa; Faculty Member; Researcher; PhD Student; Department of Electrical and Electronics Engineering; College of Engineering; College of Engineering; Graduate School of Sciences and Engineering; 6647; N/A; N/A
    The Internet of Things (IoT) offers enhanced connectivity so that any system, being, or process can be reached from anywhere at any time by perpetual surveillance, which results in very large and complex data sets, i.e., Big Data. Despite numerous advantages, IoT technology comes with some unavoidable drawbacks. Considering the number of devices to be added to the current electromagnetic spectrum, it is a fact that wireless communications will severely suffer and eventually become inoperable. Furthermore, as wireless devices are equipped with limited capacity batteries, frequent replenishments and/or maintenance will be needed. However, this is neither practical nor achievable due to the excessive number of devices envisioned by the IoT paradigm. Here, the unification of Energy Harvesting (EH) and Cognitive Radio (CR) stands highly promising to alleviate the current drawbacks, enabling more efficient data generation, acquisition, and analysis. This chapter outlines a new vision, namely Internet of Energy Harvesting Cognitive Radios (IoEH-CRs), to take the IoT-enabled Big Data paradigm a step further. It discusses the basics of the EH-assisted spectrum-aware communications and their implications for the IoT, as well as the challenges posed by the unification of these techniques. An operational framework together with node and network architectures is also presented.