Search Results - "Bouziane, Brik"

Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems by Brik, Bouziane, Ksentini, Adlen, Bouaziz, Maha

“…The use of Unmanned Aerial Vehicles (UAVs) for wireless networks is rapidly growing as key enablers of new applications, including: surveillance and…”
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"Why Should I Trust Your IDS?": An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks by Houda, Zakaria Abou El, Brik, Bouziane, Khoukhi, Lyes

“…Internet of Things (IoT) is an emerging paradigm that is turning and revolutionizing worldwide cities into smart cities. However, this emergence is accompanied…”
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Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges by Brik, Bouziane, Boutiba, Karim, Ksentini, Adlen

“…Open Radio Access Network (O-RAN) alliance was recently launched to devise a new RAN architecture featuring open, software-driven, virtual, and intelligent…”
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Toward Optimal MEC Resource Dimensioning for a Vehicle Collision Avoidance System: A Deep Learning Approach by Brik, Bouziane, Ksentini, Adlen

“…Collision detection and avoidance between vehicles is one of the key services envisioned in the Internet of Vehicles. Such services are usually deployed at the…”
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On using reinforcement learning for network slice admission control in 5G: Offline vs. online by Bakri, Sihem, Brik, Bouziane, Ksentini, Adlen

“…Summary Achieving a fair usage of network resources is of vital importance in Slice‐ready 5G network. The dilemma of which network slice to accept or to reject…”
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Providing Convenient Indoor Thermal Comfort in Real-Time Based on Energy-Efficiency IoT Network by Brik, Bouziane, Esseghir, Moez, Merghem-Boulahia, Leila, Hentati, Ahmed

“…Monitoring the thermal comfort of building occupants is crucial for ensuring sustainable and efficient energy consumption in residential buildings. It enables…”
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Retraction Note: Impact of noise on data routing in flying ad hoc networks by Bezziane, Mohamed Ben, Brik, Bouziane, Messiaid, Abdessalem, Kafi, Mohamed Redouane, Korichi, Ahmed, Bezziane, Amina Ben

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Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions by Hafi, Houda, Brik, Bouziane, Frangoudis, Pantelis A., Ksentini, Adlen, Bagaa, Miloud

“…Sixth-generation (6G) networks anticipate intelligently supporting a wide range of smart services and innovative applications. Such a context urges a heavy…”
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RETRACTED ARTICLE: Impact of noise on data routing in flying Ad hoc networks by Bezziane, Mohamed Ben, Brik, Bouziane, Messiaid, Abdessalem, Kafi, Mohamed Redouane, Korichi, Ahmed, Bezziane, Amina Ben

“…Routing protocol plays a vital role in FANETs (Flying Ad-Hoc Networks) by facilitating communication between nodes and enabling the establishment of efficient…”
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Towards Mitigating Jellyfish Attacks Based on Honesty Metrics in V2X Autonomous Networks by Benguenane, Messaoud, Korichi, Ahmed, Brik, Bouziane, Azzaoui, Nadjet

“…In vehicle-to-everything (V2X) networks, security and safety are inherently difficult tasks due to the distinct characteristics of such networks, such as their…”
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Guest Editorial: Special Issue on Resource-Efficient Collaborative Deep Learning Over B5G/6G Networks by Brik, Bouziane, Bennis, Mehdi, Wang, Xianbin, Guizani, Mohsen

“…Collaborative machine learning is considered as the bedrock of the intelligent B5G networks, where distributed agents collaborate with each other to train…”
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Power Allocation and Energy Cost Minimization in Cloud Data Centers Microgrids: A Two-Stage Optimization Approach by Benblidia, Mohammed Anis, Brik, Bouziane, Esseghir, Moez, Merghem-Boulahia, Leila

“…Data centers are becoming an important asset in today's connected and intelligent world. Indeed, with the emergence of <inline-formula> <tex-math…”
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Game Theory-Based UAV-Cloud for Service Selection Architecture in Flying Ad Hoc Networks by Bezziane, Mohamed Ben, Hasan, Siham, Brik, Bouziane, Abukhres, Fathi Eltayeeb, Algaddafi, Ali, Ben Bezziane, Amina, Korichi, Ahmed, Kafi, Mohamed Redouane

“…The rapid progression of Cloud Computing (CC) technology has ushered in innovative ecosystem concepts such as Mobile Cloud Computing (MCC). In this context,…”
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Towards an Optimal MEC Resources Dimensioning for Vehicle Collision Avoidance System: A Deep Learning Approach by Brik, Bouziane, Ksentini, Adlen

“…Collision detection and avoidance between vehicles is one of the key services envisioned in the Internet of Vehicles (IoV). Such services are usually deployed…”
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An IoT-based deep learning approach to analyse indoor thermal comfort of disabled people by Brik, Bouziane, Esseghir, Moez, Merghem-Boulahia, Leila, Snoussi, Hichem

“…Monitoring the thermal comfort of building occupants is crucial for ensuring sustainable and efficient energy consumption in residential buildings. Existing…”
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Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep Learning Approach by Hammedi, Wided, Brik, Bouziane, Senouci, Sidi Mohammed

“…Cooperative collision avoidance between inland waterway ships is among the envisioned services on the Internet of Ships. Such a service aims to support safe…”
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NRflex: Enforcing network slicing in 5G New Radio by Boutiba, Karim, Ksentini, Adlen, Brik, Bouziane, Challal, Yacine, Balla, Amar

“…The emerging 5G networks promise to support novel network services with different requirements in terms of Quality of Service (QoS), such as low-latency and…”
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Next-power: Next-generation framework for secure and sustainable energy trading in the metaverse by Abou El Houda, Zakaria, Brik, Bouziane

“…The rapid emergence of the Metaverse as a leading virtual digital technology is driving innovation in power generation. The increasing demand for sustainable…”
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A Privacy-Preserving Framework for Efficient Network Intrusion Detection in Consumer Network Using Quantum Federated Learning by Houda, Zakaria Abou El, Moudoud, Hajar, Brik, Bouziane, Adil, Muhammad

“…The proliferation of consumer networks has increased vulnerabilities to network intrusions, emphasizing the critical need for robust intrusion detection…”
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Advancing Security and Trust in WSNs: A Federated Multi-Agent Deep Reinforcement Learning Approach by Moudoud, Hajar, Houda, Zakaria Abou El, Brik, Bouziane

“…Wireless Sensor Networks (WSNs) show significant potential through their ability to collect and analyze real-time data, notably enhancing various sectors. The…”
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