Christophe Guillet - IEEE Xplore Author Profile

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Author details

Christophe Guillet

Publications

10

Citations

29

Publications by Year

20122024

Co-Authors:

Abdualrhman AbdalhadiRana Fayyaz AhmadMaged S. Al-QuraishiJ. CecilJean-Rémy Chardonnet

Show All Co-Authors (27)

Christophe Guillet

Affiliation

Arts et Metiers

Institute of Technology

LISPEN, Chalon-Sur-Saône, France

Publication Topics

Virtually,
Conflict Condition,
Virtual Reality Experience,
Artificial Intelligence Models,
City Environment,
Client-side,
Cognitive Load,
Cognitive Tasks,
Eye-tracking Data,
Independent Component Analysis,
Motion Sickness,
Physiological Data

Biography

Christophe Guillet is currently an Associate Professor with Université Bourgogne Franche-Comté. He is a member of the Methods and Uses Cases of Virtual Reality Team, University of Burgundy, LISPEN, Chalon-sur-Sa&ohat;ne, France. His main research interests include the development of mathematical methods for multidimensional data analysis recorded in virtual environments for human movement, brain activity, and cognitive psychology studies and involving the combination of probabilistic, topological, machine learning, and neural network tools.(Based on document published on 29 March 2024).

Publications

10

Citations

29

Publications by Year

20122024

Co-Authors:

Abdualrhman Abdalhadi
Rana Fayyaz Ahmad
Maged S. Al-Quraishi
J. Cecil
Jean-Rémy Chardonnet

Show All Co-Authors (27)

Author's Published Works

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Showing 1-25 of 26 results

Conferences (14)

Journals (12)

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Mohamed Abdallah(12)
Bekir Sait Ciftler(12)
Bekir Sait Çiftler(8)
Abdulmalik Alwarafy(7)
Mounir Hamdi(5)
Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar(15)
Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA(4)
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA(2)
Qatar Mobility Innovations Center (QMIC), Doha, Qatar(2)
Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar(2)
IEEE Open Journal of the Communications Society(4)
IEEE Internet of Things Journal(3)
2020 International Wireless Communications and Mobile Computing (IWCMC)(2)
IEEE Photonics Journal(2)
2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems(1)
IEEE(26)
Montreal, QC, Canada(3)
Limassol, Cyprus(2)
Dallas, TX, USA(1)
Doha, Qatar(1)
Dubrovnik, Croatia(1)
Deep Reinforcement Learning(12)
Reward Function(9)
Additive Noise(8)
Internet Of Things(8)
Edge Devices(7)

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DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications

Danya A. Saifaldeen;Abdullatif M. Al-Baseer;Bekir S. Ciftler;Mohamed M. Abdallah;Khalid A. Qaraqe

IEEE Open Journal of the Communications Society

Year: 2024 | Volume: 5 | Journal Article |

Cited by: Papers (2)

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This paper explores a new advancement in physical layer security (PLS) techniques, focusing on the integration of Intelligent Reflecting Surfaces (IRS). This work centers on developing an intelligent hybrid system combining communication lines using millimeter wave (mmWave) and Visible light communication (VLC). The system comprises four VLC access points with light fixtures, reinforced by a mirro...Show More

DRL-Based IRS-Assisted Secure Hybrid Visible Light and mmWave Communications

Danya A. Saifaldeen;Abdullatif M. Al-Baseer;Bekir S. Ciftler;Mohamed M. Abdallah;Khalid A. Qaraqe

IEEE Open Journal of the Communications Society

Year: 2024 | Volume: 5 | Journal Article |

AUVs' Distributed Mission Planning System for Effective Underwater Chlorophyll Sampling

Somaiyeh MahmoudZadeh;Amirmehdi Yazdani;Yashar Kalantari;Bekir Ciftler

2024 2nd International Conference on Unmanned Vehicle Systems-Oman (UVS)

Year: 2024 | Conference Paper |

Cited by: Papers (1)

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This paper presents a distributed mission planning system that enables a team of autonomous underwater vehicles (AUVs) for effective underwater chlorophyll sampling. The proposed system is developed based on a distributed algorithm that optimizes the real-time task allocation and mission planning of AUVs in a cooperative fashion while considering environmental and vehicular constraints to ensure e...Show More

AUVs' Distributed Mission Planning System for Effective Underwater Chlorophyll Sampling

Somaiyeh MahmoudZadeh;Amirmehdi Yazdani;Yashar Kalantari;Bekir Ciftler

2024 2nd International Conference on Unmanned Vehicle Systems-Oman (UVS)

Year: 2024 | Conference Paper |

Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT

Noora Mohammed Al-Maslamani;Mohamed Abdallah;Bekir Sait Ciftler

IEEE Open Journal of the Communications Society

Year: 2023 | Volume: 4 | Journal Article |

Cited by: Papers (11)

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Aiming at protecting device data privacy, Federated Learning (FL) is a framework of distributed machine learning in which devices’ local model parameters are exchanged with a centralized server without revealing the actual data. Hierarchical Federated Learning (HFL) framework was introduced to improve FL communication efficiency where devices are clustered and seek model consensus with the support...Show More

Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT

Noora Mohammed Al-Maslamani;Mohamed Abdallah;Bekir Sait Ciftler

IEEE Open Journal of the Communications Society

Year: 2023 | Volume: 4 | Journal Article |

Secure Federated Learning for IoT using DRL-based Trust Mechanism

Noora Al-Maslamani;Mohamed Abdallah;Bekir Sait Ciftler

2022 International Wireless Communications and Mobile Computing (IWCMC)

Year: 2022 | Conference Paper |

Cited by: Papers (5)

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Federated learning (FL) has evolved to leverage a distributed dataset from numerous IoT devices to improve the performance of a Machine Learning (ML) model while preserving the privacy of device data. Client devices train a global model jointly and share local model updates with a central entity or a server. However, FL is vulnerable to a variety of adversarial attacks that target its security and...Show More

Secure Federated Learning for IoT using DRL-based Trust Mechanism

Noora Al-Maslamani;Mohamed Abdallah;Bekir Sait Ciftler

2022 International Wireless Communications and Mobile Computing (IWCMC)

Year: 2022 | Conference Paper |

Toward Secure Federated Learning for IoT Using DRL-Enabled Reputation Mechanism

Noora Mohammed Al-Maslamani;Bekir Sait Ciftler;Mohamed Abdallah;Mohamed M. E. A. Mahmoud

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 21 | Journal Article |

Cited by: Papers (6)

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Federated learning (FL) has emerged to leverage datasets from multiple devices to improve the performance of a machine learning (ML) model while providing privacy preservation for devices. The training data is collected at the devices, also known as FL workers, which collaboratively train a global learning model and share their local model updates with a central entity or server without sharing th...Show More

Toward Secure Federated Learning for IoT Using DRL-Enabled Reputation Mechanism

Noora Mohammed Al-Maslamani;Bekir Sait Ciftler;Mohamed Abdallah;Mohamed M. E. A. Mahmoud

IEEE Internet of Things Journal

Year: 2022 | Volume: 9, Issue: 21 | Journal Article |

DRL-Based IRS-Assisted Secure Visible Light Communications

Danya A. Saifaldeen;Bekir S. Ciftler;Mohamed M. Abdallah;Khalid A. Qaraqe

IEEE Photonics Journal

Year: 2022 | Volume: 14, Issue: 6 | Journal Article |

Cited by: Papers (18)

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In this paper, we develop a novel Physical Layer Security (PLS) technique for a Visible Light Communication (VLC) system composed of light fixtures assisted by mirror array sheets serving as Intelligent Reflecting Surfaces (IRS). Our objective is to optimize the Secrecy Capacity (SC) by finding the optimal beamforming (BF) weights equipped at the VLC fixtures and mirror orientations at the mirror ...Show More

DRL-Based IRS-Assisted Secure Visible Light Communications

Danya A. Saifaldeen;Bekir S. Ciftler;Mohamed M. Abdallah;Khalid A. Qaraqe

IEEE Photonics Journal

Year: 2022 | Volume: 14, Issue: 6 | Journal Article |

DRL-Based Joint RAT Association, Power and Bandwidth Optimization for Future HetNets

Abdulmalik Alwarafy;Bekir Sait Ciftler;Mohamed Abdallah;Mounir Hamdi;Naofal Al-Dhahir

IEEE Wireless Communications Letters

Year: 2022 | Volume: 11, Issue: 7 | Journal Article |

Cited by: Papers (4)

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Multi-radio access technologies (RATs) networks, where various heterogeneous networks (HetNets) coexist, are in service nowadays and considered a main enabling technology for future networks. In such networks, managing radio resources is challenge. In this letter, we address the problem of RATs-edge devices (EDs) association and joint power and bandwidth allocation in multi-RAT multi-homing HetNet...Show More

DRL-Based Joint RAT Association, Power and Bandwidth Optimization for Future HetNets

Abdulmalik Alwarafy;Bekir Sait Ciftler;Mohamed Abdallah;Mounir Hamdi;Naofal Al-Dhahir

IEEE Wireless Communications Letters

Year: 2022 | Volume: 11, Issue: 7 | Journal Article |

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA

Muhammad Shehab;Bekir S. Ciftler;Tamer Khattab;Mohamed M. Abdallah;Daniele Trinchero

IEEE Open Journal of the Communications Society

Year: 2022 | Volume: 3 | Journal Article |

Cited by: Papers (36)

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In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario intending to maximize the sum-rate of users. The optimization problem at the IRS is quite complicated, and non-convex since it requires the tuning of the phase shift reflection matrix. Driven by the rising deployment of deep reinforcement learning (DRL) techniques that ...Show More

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA

Muhammad Shehab;Bekir S. Ciftler;Tamer Khattab;Mohamed M. Abdallah;Daniele Trinchero

IEEE Open Journal of the Communications Society

Year: 2022 | Volume: 3 | Journal Article |

Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNets

Abdulmalik Alwarafy;Bekir Sait Çiftler;Mohamed Abdallah;Mounir Hamdi;Naofal Al-Dhahir

IEEE Transactions on Network Science and Engineering

Year: 2022 | Volume: 9, Issue: 4 | Journal Article |

Cited by: Papers (18)

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This article considers the problem of cost-aware downlink sum-rate maximization via joint optimal radio access technologies (RATs) assignment and power allocation in next-generation heterogeneous wireless networks (HetNets). We consider a future HetNet comprised of multi-RATs and serving multi-connectivity edge devices (EDs), and we formulate the problem as a mixed-integer non-linear programming (...Show More

Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNets

Abdulmalik Alwarafy;Bekir Sait Çiftler;Mohamed Abdallah;Mounir Hamdi;Naofal Al-Dhahir

IEEE Transactions on Network Science and Engineering

Year: 2022 | Volume: 9, Issue: 4 | Journal Article |

The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions

Abdulmalik Alwarafy;Mohamed Abdallah;Bekir Sait Çiftler;Ala Al-Fuqaha;Mounir Hamdi

IEEE Open Journal of the Communications Society

Year: 2022 | Volume: 3 | Journal Article |

Cited by: Papers (28)

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Next generation wireless networks are expected to be extremely complex due to their massive heterogeneity in terms of the types of network architectures they incorporate, the types and numbers of smart IoT devices they serve, and the types of emerging applications they support. In such large-scale and heterogeneous networks (HetNets), radio resource allocation and management (RRAM) becomes one of ...Show More

The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions

Abdulmalik Alwarafy;Mohamed Abdallah;Bekir Sait Çiftler;Ala Al-Fuqaha;Mounir Hamdi

IEEE Open Journal of the Communications Society

Year: 2022 | Volume: 3 | Journal Article |

Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks

Bekir Sait Ciftler;Abdulmalik Alwarafy;Mohamed Abdallah

IEEE Photonics Journal

Year: 2022 | Volume: 14, Issue: 3 | Journal Article |

Cited by: Papers (22)

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Hybrid radio frequency (RF) and visible light communication (VLC) networks can provide high throughput and energy efficiency with VLC access points (APs) while ensuring ubiquitous coverage with RF APs. Due to dynamic channel conditions and limited resources, the hybrid RF/VLC networks’ resource allocation problem is complex and challenging. Conventional resource allocation techniques fail to overc...Show More

Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks

Bekir Sait Ciftler;Abdulmalik Alwarafy;Mohamed Abdallah

IEEE Photonics Journal

Year: 2022 | Volume: 14, Issue: 3 | Journal Article |

AI-Based Radio Resource Allocation in Support of the Massive Heterogeneity of 6G Networks

Abdulmalik Alwarafy;Abdullatif Albaseer;Bekir Sait Ciftler;Mohamed Abdallah;Ala Al-Fuqaha

2021 IEEE 4th 5G World Forum (5GWF)

Year: 2021 | Conference Paper |

Cited by: Papers (16)

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There is a consensus in industry and academia that 6G wireless networks will incorporate massive heterogeneous radio access technologies (RATs) in order to cater to the high quality of service (QoS) demands of next-generation wireless applications. Allocation of radio resources in such large-scale networks will pose extra challenges to the traditional resource allocation techniques. Hence, it beco...Show More

AI-Based Radio Resource Allocation in Support of the Massive Heterogeneity of 6G Networks

Abdulmalik Alwarafy;Abdullatif Albaseer;Bekir Sait Ciftler;Mohamed Abdallah;Ala Al-Fuqaha

2021 IEEE 4th 5G World Forum (5GWF)

Year: 2021 | Conference Paper |

DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks

Bekir Sait Ciftler;Mohamed Abdallah;Abdulmalik Alwarafy;Mounir Hamdi

ICC 2021 - IEEE International Conference on Communications

Year: 2021 | Conference Paper |

Cited by: Papers (11)

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In this paper, a Deep Q-Network (DQN) based multi-agent multi-user power allocation algorithm is proposed for hybrid networks composed of radio frequency (RF) and visible light communication (VLC) access points (APs). The users are capable of multihoming, which can bridge RF and VLC links for accommodating their bandwidth requirements. By leveraging a non-cooperative multi-agent DQN algorithm, whe...Show More

DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks

Bekir Sait Ciftler;Mohamed Abdallah;Abdulmalik Alwarafy;Mounir Hamdi

ICC 2021 - IEEE International Conference on Communications

Year: 2021 | Conference Paper |

DeepRAT: A DRL-Based Framework for Multi-RAT Assignment and Power Allocation in HetNets

Abdulmalik Alwarafy;Bekir Sait Ciftler;Mohamed Abdallah;Mounir Hamdi

2021 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2021 | Conference Paper |

Cited by: Papers (10)

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Wireless heterogeneous networks (HetNets), where several systems with multi-radio access technologies (multi-RATs) coexist for massive multi-connectivity networks, are in service nowadays and are expected to be a main enabling technology in the future wireless networks. The extensive heterogeneity of such networks in terms of RATs architectures and their supported applications poses extra challeng...Show More

DeepRAT: A DRL-Based Framework for Multi-RAT Assignment and Power Allocation in HetNets

Abdulmalik Alwarafy;Bekir Sait Ciftler;Mohamed Abdallah;Mounir Hamdi

2021 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2021 | Conference Paper |

Federated Mimic Learning for Privacy Preserving Intrusion Detection

Noor Ali Al-Athba Al-Marri;Bekir S. Ciftler;Mohamed M. Abdallah

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)

Year: 2020 | Conference Paper |

Cited by: Papers (24)

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Internet of things (IoT) devices are prone to attacks due to the limitation of their privacy and security components. These attacks vary from exploiting backdoors to disrupting the communication network of the devices. Intrusion Detection Systems (IDS) play an essential role in ensuring information privacy and security of IoT devices against these attacks. Recently, deep learning-based IDS techniq...Show More

Federated Mimic Learning for Privacy Preserving Intrusion Detection

Noor Ali Al-Athba Al-Marri;Bekir S. Ciftler;Mohamed M. Abdallah

2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)

Year: 2020 | Conference Paper |

Exploiting Unlabeled Data in Smart Cities using Federated Edge Learning

Abdullatif Albaseer;Bekir Sait Ciftler;Mohamed Abdallah;Ala Al-Fuqaha

2020 International Wireless Communications and Mobile Computing (IWCMC)

Year: 2020 | Conference Paper |

Cited by: Papers (50)

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Privacy concerns are considered one of the main challenges in smart cities as sharing sensitive data induces threatening problems in people's lives. Federated learning has emerged as an effective technique to avoid privacy infringement as well as increase the utilization of the data. However, there is a scarcity in the amount of labeled data and an abundance of unlabeled data collected in smart ci...Show More

Exploiting Unlabeled Data in Smart Cities using Federated Edge Learning

Abdullatif Albaseer;Bekir Sait Ciftler;Mohamed Abdallah;Ala Al-Fuqaha

2020 International Wireless Communications and Mobile Computing (IWCMC)

Year: 2020 | Conference Paper |

Federated Learning for RSS Fingerprint-based Localization: A Privacy-Preserving Crowdsourcing Method

Bekir Sait Ciftler;Abdullatif Albaseer;Noureddine Lasla;Mohamed Abdallah

2020 International Wireless Communications and Mobile Computing (IWCMC)

Year: 2020 | Conference Paper |

Cited by: Papers (44)

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Received Signal Strength (RSS) fingerprint-based localization has attracted a lot of research effort and cultivated many commercial applications of location-based services due to its low cost and ease of implementation. Many studies are exploring the use of deep learning (DL) algorithms for localization. DL's ability to extract features and to classify autonomously makes it an attractive solution ...Show More

Federated Learning for RSS Fingerprint-based Localization: A Privacy-Preserving Crowdsourcing Method

Bekir Sait Ciftler;Abdullatif Albaseer;Noureddine Lasla;Mohamed Abdallah

2020 International Wireless Communications and Mobile Computing (IWCMC)

Year: 2020 | Conference Paper |

Performance Evaluation of Physical Attacks against E2E Autoencoder over Rayleigh Fading Channel

Abdullatif Albaseer;Bekir Sait Ciftler;Mohamed M. Abdallah

2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)

Year: 2020 | Conference Paper |

Cited by: Papers (3)

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The use of Deep Learning (DL) in wireless communication systems is becoming very popular. As an example to the use of DL, the end-to-end (E2E) communication system can be implemented as an autoencoder. However, security and robustness are the main challenges due to the weaknesses of the autoencoders against physical adversarial attacks. Some works have been devoted to addressing these issues using...Show More

Performance Evaluation of Physical Attacks against E2E Autoencoder over Rayleigh Fading Channel

Abdullatif Albaseer;Bekir Sait Ciftler;Mohamed M. Abdallah

2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)

Year: 2020 | Conference Paper |

Occupancy Counting With Burst and Intermittent Signals in Smart Buildings

Bekir Sait Çiftler;Sener Dikmese;İsmail Güvenç;Kemal Akkaya;Abdullah Kadri

IEEE Internet of Things Journal

Year: 2018 | Volume: 5, Issue: 2 | Journal Article |

Cited by: Papers (45)

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Zone-level occupancy counting is a critical technology for smart buildings and can be used for applications, such as building energy management, surveillance, and public safety. Existing occupancy counting techniques typically require installation of large number of occupancy monitoring sensors inside a building and an established wireless network. In this paper, in order to achieve occupancy coun...Show More

Occupancy Counting With Burst and Intermittent Signals in Smart Buildings

Bekir Sait Çiftler;Sener Dikmese;İsmail Güvenç;Kemal Akkaya;Abdullah Kadri

IEEE Internet of Things Journal

Year: 2018 | Volume: 5, Issue: 2 | Journal Article |

The Impact of Incomplete Secure Connectivity on the Lifetime of Wireless Sensor Networks

Huseyin Ugur Yildiz;Bekir Sait Ciftler;Bulent Tavli;Kemal Bicakci;Davut Incebacak

IEEE Systems Journal

Year: 2018 | Volume: 12, Issue: 1 | Journal Article |

Cited by: Papers (12)

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Key predistribution schemes accommodate secure connectivity by establishing pairwise keys between nodes. However, ensuring security for all communication links of a wireless sensor network (WSN) is nontrivial due to the memory limitations of the nodes. If some of the links are not available due to the lack of a primary security association between the transmitter and the receiver, nodes can still ...Show More

The Impact of Incomplete Secure Connectivity on the Lifetime of Wireless Sensor Networks

Huseyin Ugur Yildiz;Bekir Sait Ciftler;Bulent Tavli;Kemal Bicakci;Davut Incebacak

IEEE Systems Journal

Year: 2018 | Volume: 12, Issue: 1 | Journal Article |

IoT Localization for Bistatic Passive UHF RFID Systems With 3-D Radiation Pattern

Bekir Sait Çiftler;Abdullah Kadri;İsmail Güvenc

IEEE Internet of Things Journal

Year: 2017 | Volume: 4, Issue: 4 | Journal Article |

Cited by: Papers (45)

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Passive radio-frequency identification (RFID) systems carry critical importance for Internet of Things (IoT) applications due to their energy harvesting capabilities. RFIDbased position estimation, in particular, is expected to facilitate a wide array of location-based services for IoT applications with low-power requirements. In this paper, considering monostatic and bistatic configurations and 3...Show More

IoT Localization for Bistatic Passive UHF RFID Systems With 3-D Radiation Pattern

Bekir Sait Çiftler;Abdullah Kadri;İsmail Güvenc

IEEE Internet of Things Journal

Year: 2017 | Volume: 4, Issue: 4 | Journal Article |

Indoor occupancy tracking in smart buildings using passive sniffing of probe requests

Edwin Vattapparamban;Bekir Sait Çiftler;İsmail Güvenç;Kemal Akkaya;Abdullah Kadri

2016 IEEE International Conference on Communications Workshops (ICC)

Year: 2016 | Conference Paper |

Cited by: Papers (43)

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Zone-level occupancy tracking is a critical technology for smart buildings and can be used for applications such as building energy management, surveillance, and security. Existing occupancy tracking techniques typically require installation of large number of occupancy monitoring sensors inside a building as well as an established network. In this study, in order to achieve occupancy tracking, we...Show More

Indoor occupancy tracking in smart buildings using passive sniffing of probe requests

Edwin Vattapparamban;Bekir Sait Çiftler;İsmail Güvenç;Kemal Akkaya;Abdullah Kadri

2016 IEEE International Conference on Communications Workshops (ICC)

Year: 2016 | Conference Paper |

Experimental performance evaluation of passive UHF RFID systems under interference

Bekir Sait Çiftler;Abdullah Kadri;Ismail Guvenc

2015 IEEE International Conference on RFID Technology and Applications (RFID-TA)

Year: 2015 | Conference Paper |

Cited by: Papers (3)

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Performance of passive ultrahigh frequency radio-frequency identification (UHF RFID) systems is determined by the ability of the RFID reader to precisely decode the RF signal backscattered by the RFID tag. For a successful operation, two conditions must be met: (1) the power level of the impinged signal on the RFID tag must be above its threshold to power up its internal circuitry, and (2) the bac...Show More

Experimental performance evaluation of passive UHF RFID systems under interference

Bekir Sait Çiftler;Abdullah Kadri;Ismail Guvenc

2015 IEEE International Conference on RFID Technology and Applications (RFID-TA)

Year: 2015 | Conference Paper |

Efficient Privacy-Preserving Fingerprint-Based Indoor Localization Using Crowdsourcing

Patrick Armengol;Rachelle Tobkes;Kemal Akkaya;Bekir S. Çiftler;Ismail Güvenç

2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems

Year: 2015 | Conference Paper |

Cited by: Papers (11)

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Indoor localization has been widely studied due to the inability of GPS to function indoors. Numerous approaches have been proposed in the past and a number of these approaches are currently being used commercially. However, little attention was paid to the privacy of the users especially in the commercial products. Malicious individuals can determine a client's daily habits and activities by simp...Show More

Efficient Privacy-Preserving Fingerprint-Based Indoor Localization Using Crowdsourcing

Patrick Armengol;Rachelle Tobkes;Kemal Akkaya;Bekir S. Çiftler;Ismail Güvenç

2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems

Year: 2015 | Conference Paper |

Fundamental bounds on RSS-based wireless localization in passive UHF RFID systems

Bekir Sait Çiftler;Abdullah Kadri;İsmail Güvenç

2015 IEEE Wireless Communications and Networking Conference (WCNC)

Year: 2015 | Conference Paper |

Cited by: Papers (8)

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Radio-Frequency IDentification (RFID) systems carry critical importance for reaping the benefits of a diverse set of applications that will be enabled by the emerging Internet of Things (IoT). In particular, RFID based position estimation and tracking will facilitate a wide array of location based services. Considering a monostatic RFID configuration with a three dimensional antenna radiation patt...Show More

Fundamental bounds on RSS-based wireless localization in passive UHF RFID systems

Bekir Sait Çiftler;Abdullah Kadri;İsmail Güvenç

2015 IEEE Wireless Communications and Networking Conference (WCNC)

Year: 2015 | Conference Paper |

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