Classification of wireless sensor networks deployment techniques DS Deif, Y Gadallah IEEE Communications Surveys & Tutorials 16 (2), 834-855, 2014 | 259 | 2014 |
A Machine Learning-Based Technique for False Data Injection Attacks Detection in Industrial IoT M Aboelwafa, K Seddik, M Eldefrawy, Y Gadallah, M Gidlund IEEE Internet of Things Journal 7 (9), 8462-8471, 2020 | 164 | 2020 |
Classification of LTE Uplink Scheduling Techniques: An M2M Perspective M Mehaseb, Y Gadallah, A Elhamy, H Elhennawy IEEE Communications Surveys & Tutorials 18 (2), 1310 - 1335, 2016 | 105 | 2016 |
An Ant Colony Optimization Approach for the Deployment of Reliable Wireless Sensor Networks D Deif, Y Gadallah IEEE Access 5 (1), 10744-10756, 2017 | 94 | 2017 |
A Comprehensive Wireless Sensor Network Reliability Metric for Critical Internet of Things Applications D Deif, Y Gadallah EURASIP Journal on Wireless Communications and Networking, 2017 | 56 | 2017 |
An adaptive OFDMA-based MAC protocol for underwater acoustic wireless sensor networks IM Khalil, Y Gadallah, M Hayajneh, A Khreishah Sensors 12 (7), 8782-8805, 2012 | 47 | 2012 |
A Statistical Priority-Based Scheduling Metric for M2M Communications in LTE Networks AE Mostafa, Y Gadallah IEEE Access 5 (1), 8106-8117, 2017 | 41 | 2017 |
BAT: A balanced alternating technique for M2M uplink scheduling over LTE A Elhamy, Y Gadallah 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 1-6, 2015 | 39 | 2015 |
An OFDMA-based MAC protocol for under water acoustic wireless sensor networks M Hayajneh, I Khalil, Y Gadallah Proceedings of the 2009 International Conference on Wireless Communications …, 2009 | 36 | 2009 |
Load Balancing in Cellular Networks: A Reinforcement Learning Approach K Attiah, K Banawan, A Gaber, A Elezabi, K Seddik, Y Gadallah, ... IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, USA, 2020 | 31 | 2020 |
A survey on the role of UAVs in the communication process: A technological perspective G Alsuhli, A Fahim, Y Gadallah Computer Communications 194, 86-123, 2022 | 29 | 2022 |
Mobility Load Management in Cellular Networks: A Deep Reinforcement Learning Approach G Alsuhli, K Banawan, K Attiah, A Elezabi, K Seddik, A Gaber, M Zaki, ... IEEE Transactions on Mobile Computing, 2021 | 26 | 2021 |
Wireless sensor network deployment using a variable-length genetic algorithm DS Deif, Y Gadallah 2014 IEEE wireless communications and networking conference (WCNC), 2450-2455, 2014 | 26 | 2014 |
Autonomous 3-D UAV Localization Using Cellular Networks: Deep Supervised Learning versus Reinforcement Learning Approaches G Afifi, Y Gadallah IEEE Access 9, 155234 - 155248, 2021 | 25 | 2021 |
WSN application traffic characterization for integration within the internet of things MA Mehaseb, Y Gadallah, H El-Hennawy 2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks …, 2013 | 25 | 2013 |
Dynamic LTE resource reservation for critical M2M deployments Y Gadallah, MH Ahmed, E Elalamy Elsevier's Pervasive and Mobile Computing 40, 541-555, 2017 | 22 | 2017 |
An LTE-based optimal resource allocation scheme for delay-sensitive M2M deployments coexistent with H2H users MY Abdelsadek, Y Gadallah, MH Ahmed 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2017 | 21 | 2017 |
Matching-Based Resource Allocation for Critical MTC in Massive MIMO LTE Networks MY Abdelsadek, Y Gadallah, MH Ahmed IEEE Access 7 (1), 127141-127153, 2019 | 20 | 2019 |
An Optimized LTE-Based Technique for Drone Base Station Dynamic 3D Placement and Resource Allocation in Delay-Sensitive M2M Networks A Fahim, Y Gadallah IEEE Transactions on Mobile Computing, 2021 | 19 | 2021 |
A reliable energy-efficient 802.15. 4-based MAC protocol for wireless sensor networks Y Gadallah, M Jaafari 2010 IEEE Wireless Communication and Networking Conference, 1-6, 2010 | 18 | 2010 |