Yazar "Abbas, F.H." seçeneğine göre listele

Listeleniyor 1 - 4 / 4
  • Küçük Resim Yok
    Öğe
    Collision Free Energy Efficient Multipath UAV-2-GV Communication in VANET Routing Protocol
    (Springer Science and Business Media Deutschland GmbH, 2023) Alkhafaji, M.A.; Abdulsattar, N.F.; Mutar, M.H.; Alkhayyat, A.H.; Al-Azzawi, W.K.; Abbas, F.H.; Guneser, M.T.
    Vehicular Ad-Hoc Networks (VANETs) are extensively utilized in Intelligent Transportation Systems (ITS) for their various communication modes, including vehicle-to-vehicle and vehicle-to-infrastructure. VANETs are equipped with certain special characteristics such as dynamic mobility, high-speed vehicles, and so on. Both the transmission models are ineffective when it is applied to the high-speed vehicles. During transmission vehicles will transfer the information to the road side unit (RSU), but RSU deployment is the most challenging task. Due to improper deployment of RSU, deployment cost of the network gets increased, end-to-end delay get increased as well as it directly reduced the performance of packet delivery ratio and throughput calculation of the network. In order to overcome these drawbacks, Unmanned Aerial Vehicles (UAVs) are introduced in VANETs. In this paper, Collision Free Energy Efficient Multipath UAV-2-GV communication (CEM-UAVs) is proposed to improve the stability of the VANETs. This CEM-UAVs protocol is segmented into two parts; they are collision free path selection and energy efficient multipath UAV communication. Using UAVs-based data, transmission greatly reduces the delay and loss produced by the ground level traffic and congestion in the network. To analysis the performance of the proposed CEM-UAVs protocol, NS2 software is used. Four parameters are calculated to investigate the performance of the proposed CEM-UAVs protocol; they are end-to-end delay, packet delivery ratio, and number of UAVs count and throughput as well as it is compared with the earlier research works such as NC-UAVs and DP-UAVs. From the results it is proven that the proposed CEM-UAVs protocol produced 160–260 ms lower end-to-end delay, 8–10% higher packet delivery ratio, 100UAVs to 280UAVs lower UAVs count, and 1200–2000 Kbps higher throughput when compared with the earlier works NC-UAVs and DP-UAVs. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
  • Küçük Resim Yok
    Öğe
    Energy Efficient Improving Routing Model for UAVs Assisted Vehicular Adhoc Networks
    (Institute of Electrical and Electronics Engineers Inc., 2023) Alsalamy, A.; Abedi, F.; Abbas, F.H.; Noori, M.S.; Alkhafaji, M.A.; Alkhayyat, A.; Alani, S.
    Vehicular Adhoc Networks (VANETs) have widespread applications in intelligent transportation systems, serving diverse purposes. These networks are characterized by their dynamic nature, which unfortunately leads to communication instability, causing increased energy consumption, delays, and routing overhead. To overcome obstacles at ground level, Unmanned Aerial Vehicles (UAVs) are introduced, enabling data transmission through an aerial medium, free from ground-level obstructions. However, for effective communication in UAV-assisted VANETs, a reliable routing protocol is essential. This paper proposes an improved routing model for UAV-assisted VANETs, called IUAVA-RP, which employs parameter-based routing and optimal path selection. The optimal path selection is performed using a decision-making process, resulting in highly effective and optimal routing for efficient data transmission. The proposed IUAVA-RP protocol is simulated using NS2 and SUMO, and its performance analysis includes parameters such as: energy efficiency, packet delivery ratio, end-to-end delay, and routing overhead. Comparative analysis is conducted with two existing protocols, HGFA-RP and AOMDV-RP. The results demonstrate that the proposed IUAVA-RP protocol achieves higher energy efficiency and packet delivery ratio, as well as lower end-to-end delay and routing overhead compared to the earlier protocols. © 2023 IEEE.
  • Küçük Resim Yok
    Öğe
    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.
  • Küçük Resim Yok
    Öğe
    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.