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Performance Evaluation of Opportunistic Routing Protocols for Multi-hop Wireless Networks

Nowadays, Opportunistic Routing (OR) is widely considered to be the most important
paradigm for Multi-hop wireless networks (MWNs). It exploits the broadcast nature of
wireless medium to propagate information from one point to another within the network.
In OR scheme, when a node has new information to share, it rst needs to set its forwarding
list which include the IDs and/or any relevant information to its best suited neighboring
nodes. This operation is supported by the use of appropriate metrics. Then, it executes
a coordination algorithm allowing transmission reliability and high throughput among the
next-hop forwarders. In this paper, we provide a comprehensive guide to understand the
characteristics and challenges faced in the area of opportunistic routing protocols in MWNs.
Moreover, since the planet we live on is largely covered by water, OR protocols have
gained much attention during the last decade in real-time aquatic applications, such as
oil/chemical spill monitoring, ocean resource management, anti-submarine missions and
so on. One of the major problems in Underwater Wireless Sensor Network (UWSNs) is
determining an e cient and reliable routing methodology between the source node and the
destination node. Therefore, designing e cient and robust routing protocols for UWSNs
became an attractive topic for researchers. This paper seeks to address in detail the key
factors of underwater sensor network. Furthermore, it calls into question 5 state-of-the-art
routing protocols proposed for UWSN: The Depth-Based Routing protocol (DBR), the
Energy-E cient Depth-Based Routing protocol (EEDBR), the Hydraulic-pressure-based
anycast routing protocol (Hydrocast), the Geographic and opportunistic routing protocol
with Depth Adjustment for mobile underwater sensor networks (GEDAR), and the Void-
Aware Pressure Routing for underwater sensor networks (VAPR). Finally, it covers the
performance of those protocol through the use of the R programming language.

Identiferoai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/38904
Date15 March 2019
CreatorsGuercin, Sergio Rolando
ContributorsBoukerche, Azzedine
PublisherUniversité d'Ottawa / University of Ottawa
Source SetsUniversité d’Ottawa
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Formatapplication/pdf

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