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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

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

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.

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.

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