Yazar "Al-Dolaimy, F." seçeneğine göre listele

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    Mobility and Resource Allocation with Intelligent Clustering in UAVs Assisted VANETs
    (Institute of Electrical and Electronics Engineers Inc., 2023) Mahmood, S.N.; Al-Dolaimy, F.; Alkhayyat, A.; Alani, S.; Alkhafaji, M.A.; Abbas, F.H.; Guneser, M.T.
    In the past decade, there has been significant development and utilization of Unmanned Aerial Vehicles (UAVs) in Vehicular Ad Hoc Networks (VANETs) across various applications. The integration of UAVs in VANETs has provided vehicles with enhanced performance by enabling communication through an aerial medium, thereby bypassing ground-level obstacles. Efficient management of mobility and network resources becomes crucial when dealing with a large number of highly dynamic vehicles. To address this, the proposed approach in this paper is Mobility and Resource Allocation with Intelligent Clustering in UAVs-assisted VANETs (MRAIC-UAVs). The key components of the proposed approach include the network model, mobility model, clustering strategy, and UAVs Cluster Head (CH) selection process. The selection of CHs is based on the evaluation of parameters such as residual energy, UAVs mobility, UAVs degree difference, distance, and UAVs stability. This approach significantly improves network energy efficiency and packet delivery ratio. The simulation is conducted using OMNET++ with the SUMO mobility generator, and a comparison is made with earlier models such as PRO-UAVs and RJEDC-UAVs. The performance analysis considers parameters such as packet delivery ratio, end-to-end delay, energy efficiency, and energy consumption. The simulation results demonstrate that the proposed MRAIC-UAVs approach achieves higher energy efficiency and packet delivery ratio while exhibiting lower end-to-end delay and energy consumption compared to earlier approaches. © 2023 IEEE.
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    Trust based Data Dissemination and Queue Management for Vehicular Communication Networks
    (Institute of Electrical and Electronics Engineers Inc., 2023) Ali, R.R.; Alkhafaji, M.A.; Guneser, M.T.; Al-Dolaimy, F.; Alsalamy, A.; Alani, S.; Abbas, F.H.
    A Vehicular Adhoc Network (VANET) is used in maximum of the applications of intelligent transportation system (ITS). It is one among the high-speed communication networks as the results it undergone few of the drawbacks such as congestion occurrence, computation delay and overhead occurrence and so on. It is essential to monitor the network periodically and complicated to monitor the VANETs. In this paper, a Trust based Data dissemination and Queue management for VANETs (TDQ-VANETs) are introduced. At the initial stage, before the data transmission direct trust, indirect trust and total trust values of each vehicle are measured and it gets updated periodically. At the time of data transmission queue management is performed using dual queue model that employs both CSMA and TDMA models to transfer the data. The simulation of the proposed TDQ-VANETs approach is performed in NS2 and SUMO. The packet delivery rate, computational delay, computational overhead and throughput are the parameters used for performance analysis. The results compared with the earlier approaches such as AJ-MOFA and RO-DLAA. The results show that the TDQ-VANETs approach achieved superior performance in terms of packet delivery ratio and throughput. © 2023 IEEE.