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)

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