Now showing items 1249-1268 of 2211

    • Investigating the Use of Autoencoders for Gait-based Person Recognition 

      Cheheb I.; Al-Maadeed N.; Al-Madeed S.; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      In recent years, gait has been growing as a biometric for person recognition at a distance. However, factors such as view angles and carrying conditions often make this task challenging. This paper proposes a solution to ...
    • An IoT and Edge Computing Based Framework for Charge Scheduling and EV Selection in V2G Systems 

      Chamola, Vinay; Sancheti, Ashutosh; Chakravarty, Sombuddha; Kumar, Neeraj; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      The daily fluctuations in the power requirements and the regulation of voltage and frequency cause substantial energy dissipation. These lead to a reduction in the operational efficiency of the power grid. V2G (Vehicle 2 ...
    • IoT Anti-Jamming Strategy Using Game Theory and Neural Network 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ...
    • IoT Anti-Jamming Strategy Using Game Theory and Neural Network 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ...
    • IoT Based Compressive Sensing for ECG Monitoring 

      Djelouat H.; Baali H.; Amira A.; Bensaali F. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The Internet of Things (IoT) has empowered several sets of applications related to remote monitoring for patients with chronic cardiovascular diseases, where, electrocardiogram (ECG) monitoring has been widely studied and ...
    • IoT Based on-the-fly Visual Defect Detection in Railway Tracks 

      Alnaimi, Noora; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, and expensive, but the accuracy of defect detection is ...
    • IoT for smart city services: Lifecycle approach 

      Hefnawy, Ahmed; Bouras, Abdelaziz; Cherifi, Chantal ( Association for Computing Machinery , 2016 , Conference Paper)
      "Internet of Things" (IoT) and "Smart City" are widely recognized to address the complexity of modern city operation. Concentration of population, scarcity of resources and environmental concerns are the main challenges ...
    • IoT malicious traffic identification using wrapper-based feature selection mechanisms 

      Shafiq, Muhammad; Tian, Zhihong; Bashir, Ali Kashif; Du, Xiaojiang; Guizani, Mohsen ( Elsevier Ltd , 2020 , Article)
      Machine Learning (ML) plays very significant role in the Internet of Things (IoT) cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms are widely applied for IoT traffic identification ...
    • IoT root union: A decentralized name resolving system for IoT based on blockchain 

      Su, Shen; Tian, Zhihong; Li, Shuang; Deng, Jinxi; Yin, Lihua; ... more authors ( Elsevier Ltd , 2021 , Article)
      A name resolving system services as the entrance to the IoT data, thus protecting the name resolving process and making it straight and simple are critical for the widespread application of IoT services. However, due to ...
    • IoT-based fire alarm system 

      Mahgoub, Asma; Tarrad, Nourhan; Elsherif, Rana; Al-Ali, Abdulla; Ismail, Loay ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Fire alarm systems are essential in alerting people before tire engulfs their homes. However, tire alarm systems, today, require a lot of wiring and labor to be installed. This discourages users from installing them in ...
    • IoT-based smart parking system for sporting event management 

      Kubler, Sylvain; Robert, Jeremy; Hefnawy, Ahmed A; Cherifi, Chantal; Bouras, Abdelaziz; ... more authors ( Association for Computing Machinery , 2016 , Conference Paper)
      By connecting devices, people, vehicles and infrastructures everywhere in a city, governments and their partners can improve community wellbeing and other economic and financial aspects (e.g., cost and energy savings). ...
    • IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode 

      Zhang, Peiying; Wang, Chao; Aujla, Gagangeet Singh; Kumar, Neeraj; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      Wireless network communication has developed rapidly in recent years, especially in the field of Internet of vehicles (IoV). However, due to the limitations of traditional network architecture, resource scheduling in ...
    • ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities 

      Garg, P.; Chakravarthy, Anirudh Srinivasan; Mandal, Murari; Narang, Pratik; Chamola, Vinay; ... more authors ( Association for Computing Machinery , 2021 , Article)
      Aerial scenes captured by UAVs have immense potential in IoT applications related to urban surveillance, road and building segmentation, land cover classification, and so on, which are necessary for the evolution of smart ...
    • Iterative per Group Feature Selection for Intrusion Detection 

      Chkirbene Z.; Erbad A.; Hamila R.; Gouissem A.; Mohamed A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Network security is an critical subject in any distributed network. Recently, machine learning has proven their efficiency for intrusion detection. By using a comprehensive dataset with multiple attack types, a well-trained ...
    • Jammer Localization in the Internet of Vehicles: Scenarios, Experiments, and Evaluation 

      Hussain, Ahmed; Abughanam, Nada; Sciancalepore, Savio; Yaacoub, Elias; Mohamed, Amr ( ACM Digital Library , 2022 , Conference Paper)
      The Internet of Vehicles (IoV) paradigm aims to improve road safety and provide a comfortable driving experience for Internet-connected vehicles, by transmitting early warning and infotainment signals to Internet-connected ...
    • Jamming Detection in IoT Wireless Networks: An Edge-AI Based Approach 

      Hussain, Ahmed; Abughanam, Nada; Qadir, Junaid; Mohamed, Amr ( ACM Digital Library , 2022 , Conference Paper)
      Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. In the era of 5G and beyond, more technologies will be allowed to connect to mobile networks, enabling the Internet ...
    • Joint data and power transfer optimization for energy harvesting wireless networks 

      Khalfi, Bassem; Hamdaoui, Bechir; Ghorbel, Mahdi Ben; Guizani, Mohsen; Zhang, Xi ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      Energy harvesting techniques emerge as a potential solution for prolonging the lifetime of the energy-constrained mobile wireless devices. In this paper, we focus on radio frequency (RF) energy harvesting for multiuser ...
    • Joint Demand-Side Management in Smart Grid for Green Collaborative Mobile Operators under Dynamic Pricing and Fairness Setup 

      Ghazzai, Hakim; Kadri, Abdullah ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)
      In this paper, the interactions between multiple mobile operators, owning heterogeneous cellular networks, and energy retailers existing in the smart grid are investigated. Energy procurement decisions of the cellular ...
    • Joint Flight Cruise Control and Data Collection in UAV-Aided Internet of Things: An Onboard Deep Reinforcement Learning Approach 

      Li, Kai; Ni, Wei; Tovar, Eduardo; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Employing unmanned aerial vehicles (UAVs) as aerial data collectors in Internet-of-Things (IoT) networks is a promising technology for large-scale environment sensing. A key challenge in UAV-aided data collection is that ...
    • Joint mode selection, channel allocation and power assignment for green device-to-device communications 

      Gao, Chenfei; Sheng, Xiang; Tang, Jian; Zhang, Weiyi; Zou, Shihong; ... more authors ( IEEE Computer Society , 2014 , Conference Paper)
      Device-to-Device (D2D) communication has emerged as a promising technique for improving capacity and reducing power consumption in wireless networks. Most existing works on D2D communications either targeted CDMA-based ...