Search Results - "Abishu, Hayla Nahom"

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  1. 1

    Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles by Abishu, Hayla Nahom, Seid, Abegaz Mohammed, Yacob, Yasin Habtamu, Ayall, Tewodros, Sun, Guolin, Liu, Guisong

    Published in IEEE transactions on vehicular technology (01-01-2022)
    “…Electric Vehicles (EVs) have emerged as one of the most promising solutions for reducing carbon emissions in smart cities. However, due to the limited battery…”
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    Journal Article
  2. 2

    Graph Computing Systems and Partitioning Techniques: A Survey by Ayall, Tewodros Alemu, Liu, Huawen, Zhou, Changjun, Seid, Abegaz Mohammed, Gereme, Fantahun Bogale, Abishu, Hayla Nahom, Yacob, Yasin Habtamu

    Published in IEEE access (2022)
    “…Graphs are a tremendously suitable data representation that models the relationships of entities in many application domains, such as recommendation systems,…”
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    Journal Article
  3. 3

    Blockchain-Enabled Task Offloading with Energy Harvesting in Multi-UAV-assisted IoT Networks: A Multi-agent DRL Approach by Seid, Abegaz Mohammed, Lu, Jianfeng, Abishu, Hayla Nahom, Ayall, Tewodros Alemu

    “…Unmanned Aerial Vehicle (UAV) is a promising technology that can serve as aerial base stations to assist Internet of Things (IoT) networks, solving various…”
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    Journal Article
  4. 4

    ASMCC+: A Secure Authentication Scheme for Mobile Cloud Computing Environment Based on Zero Trust Architecture by Hossain, Md Jakir, Seid, Abegaz Mohammed, Abishu, Hayla Nahom, Dharejo, Fayaz Ali, Jhaveri, Rutvij H., Erbad, Aiman, Alathbah, Moath

    Published in IEEE transactions on consumer electronics (14-06-2024)
    “…Authenticated key exchange (AKE) schemes that adopt public-key encryption (PKE) are comprehensively applied in mobile cloud computing environments. They grant…”
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    Journal Article
  5. 5

    Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks by Seid, Abegaz Mohammed, Erbad, Aiman, Abishu, Hayla Nahom, Albaseer, Abdullatif, Abdallah, Mohamed, Guizani, Mohsen

    Published in IEEE internet of things journal (15-11-2023)
    “…In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of Medical Things (IoMT) have been used in the healthcare industry to…”
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    Journal Article
  6. 6

    Multi-Agent DRL-Based Consensus Mechanism for Blockchain-Based Collaborative Computing in UAV-Assisted 6G Networks by Abishu, Hayla Nahom, Sun, Guolin, Yacob, Yasin Habtamu, Boateng, Gordon Owusu, Ayepah-Mensah, Daniel, Liu, Guisong

    Published in IEEE internet of things journal (19-10-2024)
    “…Sixth generation (6G) networks deploy unmanned aerial vehicles and mobile edge computing to provide collaborative computing and reliable connectivity for…”
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    Journal Article
  7. 7
  8. 8

    Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL Approach by Abegaz, Mohammed Seid, Abishu, Hayla Nahom, Yacob, Yasin Habtamu, Ayall, Tewodros Alemu, Erbad, Aiman, Guizani, Mohsen

    “…With the Industrial Internet of Things (IIoT), mobile devices (MDs) and their demands for low-latency data communication are increasing. Due to the limited…”
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    Journal Article
  9. 9

    Multi-Agent DRL-Based Energy Harvesting for Freshness of Data in UAV-Assisted Wireless Sensor Networks by Betalo, Mesfin Leranso, Leng, Supeng, Abishu, Hayla Nahom, Seid, Abegaz Mohammed, Fakirah, Maged, Erbad, Aiman, Guizani, Mohsen

    “…In sixth-generation (6G) networks, unmanned aerial vehicles (UAVs) are expected to be widely used as aerial base stations (ABS) due to their adaptability, low…”
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    Journal Article
  10. 10

    Blockchain-Empowered Resource Allocation in HAPS-assisted IoV Digital Twin Networks: A Federated DRL Approach by Abishu, Hayla Nahom, Seid, Abegaz Mohammed, Jhaveri, Rutvij H., Gadekallu, Thippa Reddy, Erbad, Aiman, Guizani, Mohsen

    Published in IEEE transactions on intelligent vehicles (04-11-2024)
    “…Vehicular edge computing (VEC) is a new paradigm in smart cities with the potential to provide and manage resources such as computing and storage closer to…”
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    Journal Article
  11. 11

    Multi-agent Federated Reinforcement Learning for Resource Allocation in UAV-enabled Internet of Medical Things Networks by Seid, Abegaz Mohammed, Erbad, Aiman, Abishu, Hayla Nahom, Albaseer, Abdullatif, Abdallah, Mohamed, Guizani, Mohsen

    Published in IEEE internet of things journal (05-06-2023)
    “…In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of Medical Things (IoMT) have been used in the healthcare industry to…”
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    Journal Article
  12. 12

    Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-agent Deep Reinforcement Learning Approach by Seid, Abegaz Mohammed, Erbad, Aiman, Abishu, Hayla Nahom, Albaseer, Abdullatif, Abdallah, Mohammed, Guizani, Mohsen

    “…In 5G and B5G networks, real-time and secure resource allocation with the common telecom infrastructure is challenging. This problem may be more severe when…”
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    Journal Article
  13. 13

    Hierarchical DRL-empowered Network Slicing in Space-Air-Ground Networks by Seid, Abegaz Mohammed, Abishu, Hayla Nahom, Erbad, Aiman, Chiasserini, Carla Fabiana

    “…The space-air-ground integrated network (SAGIN) is an emerging architecture that has the potential to provide seamless, high data rates, and reliable…”
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    Conference Proceeding
  14. 14

    HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G by Seid, Abegaz Mohammed, Abishu, Hayla Nahom, Erbad, Aiman, Guizani, Mohsen

    “…A cyber-physical system (CPS) is a promising paradigm in 5G and future 6G networks that controls physical components through computing and communication while…”
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    Conference Proceeding
  15. 15

    Multi-Agent DRL-based Multi-Objective Demand Response Optimization for Real-Time Energy Management in Smart Homes by Abishu, Hayla Nahom, Seid, Abegaz Mohammed, Marquez-Sanchez, Sergio, Fernandez, Javier Hernandez, Corchado, Juan Manuel, Erbad, Aiman

    “…The integration of multi-agent deep reinforcement learning (MADRL) in adaptive and intelligent home energy management systems (AI-HEMS) enhances real-time…”
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    Conference Proceeding
  16. 16

    Survey on Demand Response in the Landscape of Adaptive and Intelligent Building Energy Management Systems by Ibrar, Muhammad, Abishu, Hayla Nahom, Seid, Abegaz Mohammed, Marquez-Sanchez, Sergio, Fernandez, Javier Hernandez, Corchado, Juan Manuel, Erbad, Aiman

    “…Demand response (DR) plays a significant role in modern energy management systems, particularly within the context of adaptive and intelligent building energy…”
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    Conference Proceeding
  17. 17

    FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network by Mohammed, Abegaz, Abishu, Hayla Nahom, Albaseer, Abdullatif, Erbad, Aiman, Abdallah, Mohammed, Guizani, Mohsen

    “…In 6G networks, unmanned aerial vehicles (UAVs) can serve as aerial flying base stations (AFBS) with aerial mobile edge computing (AMEC) server capabilities…”
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    Conference Proceeding
  18. 18

    AI-Native Blockchain for Multi-Domain Resource Trading in 6G by Sun, Guolin, Abishu, Hayla Nahom, Yacob, Yasin Habtamu, Huan, Chen, Jiang, Wei

    Published in IEEE communications magazine (01-07-2024)
    “…Recently, resource trading has been regarded as a promising solution to deal with the resource scarcity of Internet-of-Things devices (IoTDs) to meet the…”
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    Magazine Article