FANET: Smart city mobility off to a flying start with self‐organized drone‐based networks

Journal article


Siddiqi, M.H., Draz, U., Ali, A., Iqbal, M., Alruwaili, M., Alhwaiti, Y. and Alanazi, S. (2021). FANET: Smart city mobility off to a flying start with self‐organized drone‐based networks. IET COMMUNICATIONS. 16 (10), pp. 1209-1217. https://doi.org/10.1049/cmu2.12291
AuthorsSiddiqi, M.H., Draz, U., Ali, A., Iqbal, M., Alruwaili, M., Alhwaiti, Y. and Alanazi, S.
Abstract

Due to recent advancements in smart city traffic and transport monitoring industry 4.0 applications. Flying Ad-Hoc Networks (FANETs) ability to cover geographically large areas, makes it a suitable technology to address the challenges faced during remote areas traffic monitoring. The implementation of drone based FANETs have several advantages in remote traffic monitoring, including free air-to-air drone assisted communication zone and smart surveillance and security. The drone-based FANETs can be deployed within minutes without requiring physical infrastructure, making it suitable for mission critical applications in several areas of interests. Here a drone-based FANETs application for smart city remote traffic monitoring is presented while addressing several challenges including coverage of larger geographical area and data communication links between FANETs nodes. A FANET-inspired enhanced ACO algorithm that easily coped with drone assisted technology of FANETs is proposed to cover the large areas. Simulation results are presented to compare the proposed technique against different network lifetime and number of received packets. The presented results show that the proposed technique perform better compared to other state-of-the-art techniques.

KeywordsElectrical and Electronic Engineering; Computer Science Applications
Year2021
JournalIET COMMUNICATIONS
Journal citation16 (10), pp. 1209-1217
PublisherInstitution of Engineering and Technology (IET)
ISSN1751-8628
1751-8636
Digital Object Identifier (DOI)https://doi.org/10.1049/cmu2.12291
Publication dates
Online16 Oct 2021
Publication process dates
Accepted07 Sep 2021
Deposited29 Oct 2021
Publisher's version
File Access Level
Open
Licensehttp://creativecommons.org/licenses/by/4.0/
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Hussain, S, Iqbal, M, Saeed, A, Raza, I, Raza, H, Ali, A, Bashir, A and Baig, A (2017). An Efficient Channel Access Scheme for Vehicular Ad-hoc Networks. Mobile Information Systems. 2 (4), pp. 1473-1477.
Infrastructure as a Service (IaaS): A Comparative Performance Analysis of Open-Source Cloud Platforms
Iqbal, M and Dagiuklas, T (2017). Infrastructure as a Service (IaaS): A Comparative Performance Analysis of Open-Source Cloud Platforms. The International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD). Lund, Sweden. 21 May - 19 Jun 2017
Context-Aware Personalized Activity Modeling in Concurrent Environment
Safyan, M, Zia, Q, Sarwar, S, Iqbal, M and Ahmed, M (2017). Context-Aware Personalized Activity Modeling in Concurrent Environment. 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). Exeter UK 21 - 23 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.150
Edu-Cloud: On-the-fly Employability Skills as a Service
Shahzadi, S, Iqbal, M and Dagiuklas, T (2017). Edu-Cloud: On-the-fly Employability Skills as a Service. Computer Applications in Engineering Education. 26 (2), pp. 314-325. https://doi.org/10.1002/cae.21886
Multi-Access Edge Computing: Open issues, Challenges and Future Perspective
Shahzadi, S, Iqbal, M, Dagiuklas, T and Qayyum, Z (2017). Multi-Access Edge Computing: Open issues, Challenges and Future Perspective. Journal of Cloud Computing : Advances, Systems and Applications. 6 (1). https://doi.org/10.1186/s13677-017-0097-9