Multi-hop broadcast is one of the main approaches to disseminate data in
VANET. Therefore, it is important to design a reliable multi-hop broadcast protocol,
which satis es both reachability and bandwidth consumption requirements.
In a dense network, where vehicles are very close to each other, the number of
vehicles needed to rebroadcast the message should be small enough to avoid a broad-
cast storm, but large enough to meet the reachability requirement. If the network
is sparse, a higher number of vehicles is needed to retransmit to provide a higher
reachability level. So, it is obvious that there is a tradeo between reachability and
bandwidth consumption.
In this work, considering the above mentioned challenges, we design a number
of smart broadcast protocols and evaluate their performance in various network den-
sity scenarios. We use fuzzy logic technique to determine the quali cation of vehicles
to be forwarders, resulting in reachability enhancement. Then we design a band-
width e cient fuzzy logic-assisted broadcast protocol which aggressively suppresses
the number of retransmissions. We also propose an intelligent hybrid protocol adapts
to local network density. In order to avoid packet collisions and enhance reachability, we design a cross layer statistical broadcast protocol, in which the contention window
size is adjusted based on the local density information.
We look into the multi-hop broadcast problem with an environment based
on game theory. In this scenario, vehicles are players and their strategy is either
to volunteer and rebroadcast the received message or defect and wait for others to
rebroadcast. We introduce a volunteer dilemma game inspired broadcast scheme to
estimate the probability of forwarding for the set of potential forwarding vehicles. In
this scheme we also introduce a fuzzy logic-based contention window size adjustment
system.
Finally, based on the estimated spatial distribution of vehicles, we design a
transmission range adaptive scheme with a fuzzy logic-assisted contention window
size system, in which a bloom lter method is used to mitigate overhead.
Extensive experimental work is obtained using simulation tools to evaluate the
performance of the proposed schemes. The results con rm the relative advantages of
the proposed protocols for di erent density scenarios. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2017. / FAU Electronic Theses and Dissertations Collection
| Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_38031 |
| Contributors | Limouchi, Elnaz (author), Mahgoub, Imad (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science |
| Publisher | Florida Atlantic University |
| Source Sets | Florida Atlantic University |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation, Text |
| Format | 142 p., application/pdf |
| Rights | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
Page generated in 0.0765 seconds