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SDN-enabled deployment and path planning of aerial base stations

Aerial Base Stations (ABSs) play a central role in mission critical environments due to the fast deployment, flexible reconfiguration, low cost. In this manner, through the controllable ABSs that are directed to the disaster region, users can continuously remain connected with ABSs. However, ABS dep...

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Published in:Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2020-04, Vol.171, p.107125-12, Article 107125
Main Authors: Bozkaya, Elif, Canberk, Berk
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Language:English
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cited_by cdi_FETCH-LOGICAL-c334t-92533784d7f1d03290ee923db8cf047985fb1736f47bc378342d2665ef8a4e473
cites cdi_FETCH-LOGICAL-c334t-92533784d7f1d03290ee923db8cf047985fb1736f47bc378342d2665ef8a4e473
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container_title Computer networks (Amsterdam, Netherlands : 1999)
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creator Bozkaya, Elif
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description Aerial Base Stations (ABSs) play a central role in mission critical environments due to the fast deployment, flexible reconfiguration, low cost. In this manner, through the controllable ABSs that are directed to the disaster region, users can continuously remain connected with ABSs. However, ABS deployment and path planning face several key challenges to provide on-demand communication and enable “Quality of Experience (QoE)-guaranteed”service to the users. For example, energy consumption, maximizing the number of covered users and scheduling the ABS’s operations are important issues that need to be considered. Thus, this paper jointly presents a Software Defined Networking (SDN) enabled solution to efficiently deploy ABSs which maximizes the covered users and communication quality, and provides a path planning strategy which decreases the energy consumption. Our simulation is managed with SITL (Software In The Loop) simulator, which allows to create and test drones without a real vehicle using C++ compiler and we confirm the improvement in terms of connectivity and energy consumption when compared to a recent state-of-the-art approach.
doi_str_mv 10.1016/j.comnet.2020.107125
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identifier ISSN: 1389-1286
ispartof Computer networks (Amsterdam, Netherlands : 1999), 2020-04, Vol.171, p.107125-12, Article 107125
issn 1389-1286
1872-7069
language eng
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source Library & Information Science Abstracts (LISA); ScienceDirect Journals
subjects ABS deployment
Coverage area modeling
Drone vehicles
Energy consumption
Mission critical environments
Path planning
Reconfiguration
Software-defined networking
Stations
User satisfaction
title SDN-enabled deployment and path planning of aerial base stations
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