Now showing items 929-948 of 2288

    • Energy efficient EEG monitoring system for wireless epileptic seizure detection 

      Hussein, Ramy; Ward, Rabab ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Wireless EEG monitoring systems have been successfully used for seizure detection outside clinical settings. The wireless EEG sensor nodes consume a considerable amount of battery energy to acquire, encode and transmit the ...
    • Energy efficient mobile relay selection for two-hop wireless networks 

      Ahmed I.; Butt M.M.; Mohamed A. ( IEEE Computer Society , 2014 , Conference Paper)
      In this paper, we propose a relay selection strategy for randomly distributed multiple relays. A single relay is selected for transmitting signal from a fixed source to a fixed destination which requires minimum total ...
    • Energy load forecasting using a dual-stage attention-based recurrent neural network 

      Ozcan, Alper; Catal, Cagatay; Kasif, Ahmet ( MDPI , 2021 , Article)
      Providing a stable, low-price, and safe supply of energy to end-users is a challenging task. The energy service providers are affected by several events such as weather, volatility, and special events. As such, the prediction ...
    • Energy management optimization for cellular networks under renewable energy generation uncertainty 

      Ben Rached, Nadhir; Ghazzai, Hakim; Kadri, Abdullah; Alouini, Mohamed-Slim ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      The integration of renewable energy (RE) as an alternative power source for cellular networks has been deeply investigated in the literature. However, RE generation is often assumed to be deterministic; an impractical ...
    • Energy Theft Detection Using the Wasserstein Distance on Residuals 

      Altamimi, Emran; Al-Ali, Abdulaziz; Malluhi, Qutaibah M.; Al-Ali, Abdulla K. ( IEEE Explore , 2023 , Conference Paper)
      Detection of electricity theft improves the sustainability of the smart grid, helps electrical utilities mitigate their financial risks, and improves the overall management of resources. In this work, we utilize an LSTM ...
    • Energy-Aware Blockchain and Federated Learning-Supported Vehicular Networks 

      Aloqaily, Moayad; Ridhawi, Ismaeel Al; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The aerial capabilities and flexibility in movement of Unmanned Aerial Vehicles (UAVs) has enabled them to adaptively provide both traditional and more contemporary services. In this article, we introduce a solution that ...
    • Energy-Aware Cooperative Wireless Networks with Multiple Cognitive Users 

      Ashour, Mahmoud; Butt, Muhammad Majid; Mohamed, Amr; ElBatt, Tamer; Krunz, Marwan ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      In this paper, we study and analyze cooperative cognitive radio networks with arbitrary number of secondary users (SUs). Each SU is considered a prospective relay for the primary user (PU) besides having its own data ...
    • Energy-aware cross-layer optimization for EEG-based wireless monitoring applications 

      Awad A.; Hussein R.; Mohamed A.; El-Sherif A.A. ( IEEE Computer Society , 2013 , Conference Paper)
      Body Area Sensor Networks (BASNs) for healthcare applications have gained significant research interests recently due to the growing number of patients with chronic diseases requiring constant monitoring. Because of the ...
    • Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements 

      Hashash O.; Sharafeddine S.; Dawy Z.; Mohamed A.; Yaacoub E. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile health (mHealth) applications. However, its reliability is governed by the limited energy and computing resources of user equipment ...
    • Energy-aware rate and description allocation optimized video streaming for mobile D2D communications 

      Duong, Trung Q.; Vo, Nguyen-Son; Nguyen, Thanh-Hieu; Guizani, Mohsen; Shu, Lei ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      The proliferation problem of video streaming applications and mobile devices has prompted wireless network operators to put more efforts into improving quality of experience (QoE) while saving resources that are needed for ...
    • An energy-balanced trust cloud migration scheme for underwater acoustic sensor networks 

      Han, Guangjie; Du, Jiaxin; Lin, Chuan; Wu, Hongyi; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      As a candidate trust management scheme, trust models based on the cloud theory are always taken into account when detecting malicious attacks in Underwater Acoustic Sensor Networks (UASNs). To evaluate the trust values of ...
    • Energy-cost-distortion optimization for delay-sensitive M-health applications 

      Awad A.; Mohamed A.; Elfouly T. ( IEEE Computer Society , 2015 , Conference Paper)
      Mobile-health (m-health) systems leverage wireless and mobile communication technologies to promote new ways to acquire, process, transport, and secure the raw and processed medical data to provide the scalability needed ...
    • Energy-efficient cloud resource management 

      Dabbagh, Mehiar; Hamdaoui, Bechir; Guizani, Mohsen; Rayes, Ammar ( IEEE , 2014 , Conference Paper)
      We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, ...
    • Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning 

      Allahham, Mhd Saria; Sorour, Sameh; Mohamed, Amr; Erbad, Aiman; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ...
    • An Energy-Efficient In-Network Computing Paradigm for 6G 

      Hu, Ning; Tian, Zhihong; Du, Xiaojiang; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      In the 6G network era, energy-efficient computing means higher resource utilization and lower energy consumption. The traditional computing model regards the network as a transmission pipeline and has not fully explored ...
    • Energy-efficient networks selection based deep reinforcement learning for heterogeneous health systems 

      Chkirbene Z.; Mohamed A.; Erbad A.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Smart health systems improve the existing health services by integrating information and technology into health and medical practices. However, smart healthcare systems are facing major challenges including limited network ...
    • Energy-efficient on-board processing technique for wireless epileptic seizure detection systems 

      Hussein R.; Mohamed A.; Alghoniemy M. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      The growth of wireless body area sensor networks (WBASNs) has led the way to advancements In healthcare applications and patient monitoring systems; epileptic seizure lies at the heart of these promising technologies. For ...
    • Energy-Efficient Resource Allocation and Provisioning Framework for Cloud Data Centers 

      Dabbagh, Mehiar; Hamdaoui, Bechir; Guizani, Mohsen; Rayes, Ammar ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)
      Energy efficiency has recently become a major issue in large data centers due to financial and environmental concerns. This paper proposes an integrated energy-Aware resource provisioning framework for cloud data centers. ...
    • An Energy-Efficient Resource Allocation Scheme for SWIPT-NOMA Based Femtocells Users with Imperfect CSI 

      Budhiraja, Ishan; Kumar, Neeraj; Tyagi, Sudhanshu; Tanwar, Sudeep; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      In this paper, we propose, an energy-efficient resource allocation scheme for simultaneous wireless information and power transfer (SWIPT)-Non-orthogonal multiple access (NOMA) based femtocell users with imperfect channel ...
    • Energy-Harvesting Based Jammer Localization: A Battery-Free Approach in Wireless Sensor Networks 

      Hussain, Ahmed; Tedeschi, Pietro; Oligeri, Gabriele; Mohamed, Amr; Guizani, Mohsen ( IEEE , 2022 , Conference Paper)
      Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. Most of these technologies are vulnerable to jamming attacks. Jamming attacks are among the most effective ...