Document Type
Thesis
Degree
Master of Science (MS)
Major/Program
Computer Engineering
First Advisor's Name
Dr. Kemal Akkaya
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Dr. Selcuk Uluagac
Second Advisor's Committee Title
Committee Member
Third Advisor's Name
Dr. Alexander Perez-Pons
Third Advisor's Committee Title
Committee Member
Fourth Advisor's Name
Dr. Mohammad Rahman
Fourth Advisor's Committee Title
Committee Member
Keywords
Wirelss Mesh Network, MANET, FANET, 802.11s, HWMP, Airtime, SrFTime, Routing Metric, Link Quality Metric, NS-3, Network Simulator, Telecommunication Traffic, Drone-assisted Networks, Network Throughput, Mesh Congestion Control, Friis Propagation Loss Model, Itu-R1411 Propagation Loss Model
Date of Defense
3-18-2020
Abstract
With the proliferation of drones applications, there is an increasing need for handling their numerous challenges. One of such challenges arises when a swarm-of-drones is deployed to accomplish a specific task which requires coordination and communication. While this swarm-of-drones is essentially a special form of mobile ad hoc networks (MANETs) which has been studied for many years, there are still some unique requirements of drone applications that necessitates re-visiting MANET approaches. These challenges stem from 3-D environments the drones are deployed in, and their specific way of mobility which adds to the wireless link management challenges. In this thesis, we consider the existing 802.11s wireless mesh standard and adopt its routing capabilities for swarm-of-drones.
Specifically, we propose two link quality routing metrics called SrFTime and CRP metrics as an improvement to the 802.11s default Airtime routing metric, to enable better network throughput for drone applications. SrFTime improve network performance of stationary and mobile Wireless Mesh Networks, while CRP is designed to fit the link characteristics of drones and enable more efficient routes from these to their gateway. The evaluations in the actual 802.11s standard indicate that our proposed metrics outperforms the existing one consistently under various conditions.
Identifier
FIDC008943
ORCID
https://orcid.org/0000-0002-5000-1912
Previously Published In
Oscar G. Bautista, Nico Saputro, Kemal Akkaya, and Selcuk Uluagac. 2019. A Novel Routing Metric for IEEE 802.11s-based Swarm-of-Drones Appli- cations. In 16th EAI International Conference on Mobile and Ubiquitous Sys- tems: Computing, Networking and Services (MobiQuitous), November 12– 14, 2019, Houston, TX, USA. ACM, New York, NY, USA, 8 pages. https: //doi.org/10.1145/3360774.3368197
(Partial work at a very early stage)
Recommended Citation
Bautista Chia, Oscar G., "Customized Wireless Mesh Routing Metric for Swarm of Drones Applications" (2020). FIU Electronic Theses and Dissertations. 4406.
https://digitalcommons.fiu.edu/etd/4406
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