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ONE模拟器功能使用详细说明(英文)
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Opportunistic Network Environment simulator
Ari Ker¨anen
ari.keranen@tkk.fi
Helsinki University of Technology
Department of Communications and Networking
Special assignment
Supervisor: Professor J¨org Ott
May 29, 2008
Contents
1 Introduction 1
2 Background 3
3 The Opportunistic Network Environment simulator 6
3.1 Mobility modeling . . . . . . . . . . . . . . . . . . . . . . . . 7
3.2 Routing simulation . . . . . . . . . . . . . . . . . . . . . . . . 9
3.3 External event and reporting frameworks . . . . . . . . . . . 11
3.4 Running simulations . . . . . . . . . . . . . . . . . . . . . . . 12
3.4.1 Graphical User Interface mode . . . . . . . . . . . . . 12
3.4.2 Batch mode . . . . . . . . . . . . . . . . . . . . . . . . 14
3.4.3 Post-processing . . . . . . . . . . . . . . . . . . . . . . 15
3.4.4 Configuring scenarios . . . . . . . . . . . . . . . . . . 16
3.5 Software architecture . . . . . . . . . . . . . . . . . . . . . . . 17
3.5.1 Movement models . . . . . . . . . . . . . . . . . . . . 18
3.5.2 Routing modules . . . . . . . . . . . . . . . . . . . . . 19
3.5.3 Extending the simulator . . . . . . . . . . . . . . . . . 21
3.6 Limitations . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
3.7 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
4 Conclusions 25
A The ONE ReadMe I
I
Acronyms
API Application Programming Interface
ASCII American Standard Code for Information Interchange
DTN Delay Tolerant Networking
GIS Geographic Information System
GPL GNU General Public License
GPS Global Positioning System
GUI Graphical User Interface
MAC Media Access Control
MANET Mobile Ad-hoc NETwork
ONE Opportunistic Network Environment simulator
POI Point Of Interest
RAM Random Access Memory
RWP Random WayPoint
TTL Time To Live
WKT Well Known Text
WLAN Wireless Local Area Network
II
Chapter 1
Introduction
Today many personal mobile devices include capabilities to communicate
with infrastructure networks but also with each other. The latter can be
used to form ad-hoc networks where common infrastructure is no longer
needed for communication among hosts participating in the network. Ad-
hoc networks can also help mobile nodes to reach infrastructure if some node
in the network is able and willing to act as a gateway and possibly other
nodes as relays for the traffic. Networks can be formed this way as long as the
node density is large enough so that there exists possible end-to-end paths
between all nodes wanting to communicate. However, if the node density
decreases or the connectivity breaks for some other reason (e.g., the radios
are switched off occasionally), traditional network communication protocols
are no longer able to provide means for multi-hop communication.
Delay Tolerant Networking (DTN) [10, 4] is a communication networking
paradigm that enables communication in environments where there may be
no end-to-end paths, communication opportunities come and go and their
interval can be very long and not even known beforehand. Routing messages
in this kind of environments can be quite different compared to traditional
networks. This has created a need to find new routing protocols that take
efficiently into account the distinct nature of these networks. Different ap-
proaches can be tested and evaluated by simulation, but the simulation
results are really useful only if they are a result of somewhat credible simu-
lation scenarios.
1
The goal of this study is to add more realism to the simulations of Delay
Tolerant Networks. For this purpose we created a new simulation environ-
ment called Opportunistic Network Environment simulator (ONE). Unlike
other DTN simulators, which usually focus only on routing simulation, the
ONE combines mobility modeling, DTN routing and visualization in one
package that is easily extensible and provides a rich set of reporting and
analyzing modules.
2
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