Literature DB >> 32498459

Internet of Unmanned Aerial Vehicles: QoS Provisioning in Aerial Ad-Hoc Networks.

Kirshna Kumar1, Sushil Kumar1, Omprakash Kaiwartya2, Ajay Sikandar3, Rupak Kharel4, Jaime Lloret Mauri5.   

Abstract

Aerial ad-hoc networks have the potential to enable smart services while maintaining communication between the ground system and unmanned aerial vehicles (UAV). Previous research has focused on enabling aerial data-centric smart services while integrating the benefits of aerial objects such as UAVs in hostile and non-hostile environments. Quality of service (QoS) provisioning in UAV-assisted communication is a challenging research theme in aerial ad-hoc networks environments. Literature on aerial ad hoc networks lacks cooperative service-oriented modeling for distributed network environments, relying on costly static base station-oriented centralized network environments. Towards this end, this paper proposes a quality of service provisioning framework for a UAV-assisted aerial ad hoc network environment (QSPU) focusing on reliable aerial communication. The UAV's aerial mobility and service parameters are modelled considering highly dynamic aerial ad-hoc environments. UAV-centric mobility models are utilized to develop a complete aerial routing framework. A comparative performance evaluation demonstrates the benefits of the proposed aerial communication framework. It is evident that QSPU outperforms the state-of-the-art techniques in terms of a number of service-oriented performance metrics in a UAV-assisted aerial ad-hoc network environment.

Entities:  

Keywords:  aerial communication; internet of unmanned aerial vehicles; quality of service provisioning; vehicular communications

Year:  2020        PMID: 32498459     DOI: 10.3390/s20113160

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  7 in total

1.  Deep Reinforcement Learning for UAV Trajectory Design Considering Mobile Ground Users.

Authors:  Wonseok Lee; Young Jeon; Taejoon Kim; Young-Il Kim
Journal:  Sensors (Basel)       Date:  2021-12-09       Impact factor: 3.576

2.  Continuous Hidden Markov Model Based Spectrum Sensing with Estimated SNR for Cognitive UAV Networks.

Authors:  Yuqing Feng; Wenjun Xu; Zhi Zhang; Fengyu Wang
Journal:  Sensors (Basel)       Date:  2022-03-29       Impact factor: 3.576

3.  Quality-of-Service-Centric Design and Analysis of Unmanned Aerial Vehicles.

Authors:  Sudhanshu Kumar Jha; Shiv Prakash; Rajkumar Singh Rathore; Mufti Mahmud; Omprakash Kaiwartya; Jaime Lloret
Journal:  Sensors (Basel)       Date:  2022-07-22       Impact factor: 3.847

4.  Wireless Local Area Network Technologies as Communication Solutions for Unmanned Surface Vehicles.

Authors:  Andrzej Stateczny; Krzysztof Gierlowski; Michal Hoeft
Journal:  Sensors (Basel)       Date:  2022-01-15       Impact factor: 3.576

5.  Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs.

Authors:  Tala Talaei Khoei; Shereen Ismail; Naima Kaabouch
Journal:  Sensors (Basel)       Date:  2022-01-15       Impact factor: 3.576

6.  Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone.

Authors:  Faris A Almalki; Ben Othman Soufiene
Journal:  Sensors (Basel)       Date:  2022-02-24       Impact factor: 3.576

7.  A Dynamic Task Allocation Algorithm for Heterogeneous UUV Swarms.

Authors:  Xiaojun Wu; Zhiyuan Gao; Sheng Yuan; Qiao Hu; Zerui Dang
Journal:  Sensors (Basel)       Date:  2022-03-09       Impact factor: 3.576

  7 in total

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