Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

UAVs assessment in software-defined IoT networks: An overview - 2020

UAVs assessment in software-defined IoT networks: An overview

Research paper on UAVs assessment in software-defined IoT networks: An overview

Research Area:  Software Defined Networks

Abstract:

The technological advancements in the ubiquitous IoT era and the ever-growing desire of communities to enforce smart cities with security and safety of user data as their priority, mini Unmanned Aerial Vehicles (UAVs), or drones, are perceived as a tool for raising living standards by meeting the requirements of societies. Traditionally in UAV communication links, meshed ad hoc networks were among the first options of connectivity. However, the increased demand for deploying multi-UAV networks necessitates the development of a more robust and more secure networking infrastructure. In this regard, Software-Defined Networking (SDN) paradigm has proved to be the better alternative for multi-UAV communication since it can offer flexible services for management and control owing to its unique features such as decoupling control from UAVs and network programmability. Therefore, in this paper, we provide an overview of drone applications in SDN-enabled Drone Base Stations (DBS), surveillance monitoring and emergency networks, and review the performance assessment techniques and the associated cybersecurity aspects in these applications. Moreover, future research directions, after a thorough analysis of the literature, is presented in this paper. Through the development of an innovative and multifaceted drone performance-assessment framework with the primal concerns, that are meeting user-defined requirements and the provision of secure and reliable services, it is, therefore, necessary to advance in IoT-enabled spaces. We believe the present work is a step in the right direction, and it is essential for fastening the movement toward UAV-enabled smart cities.

Keywords:  
UAVs assessment
software-defined
IoT networks
Drone Base Stations

Author(s) Name:  Fadi Al-Turjman, Mohammad Abujubbeh, Arman Malekloo, Leonardo Mostarda

Journal name:  Computer Communications

Conferrence name:  

Publisher name:  Elsevier

DOI:  10.1016/j.comcom.2019.12.004

Volume Information:  Volume 150, 15 January 2020, Pages 519-536