20
Heterogenous mobility management Taking advantages from technology diversity or Toward fully networked cars Smart mobility management framework Jean-Marie Bonnin Professor, (Institut Telecom / Telecom Bretagne / RSM) [email protected] ANR - JST workshop November, 19-20, 2009, Paris

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Heterogenous mobility managementTaking advantages from technology diversity orToward fully networked carsSmart mobility management framework

Jean-Marie Bonnin Professor, (Institut Telecom / Telecom Bretagne / RSM)

[email protected]

ANR - JST workshopNovember, 19-20, 2009, Paris

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IT/TB/RSM/GERME/JMB

Summary

Introduction / Context Standardization A mobility management framework Works in progress Projects

2

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IntroductionVarious diversities

3

1.2. CONTEXT 7

Access

Networks

Network

Devices

Services /

Applications

Figure 1.4: Heterogeneity in ITS

This heterogeneity of service requirements implies a significant flexibility of the

transmission network to be used.

1.2.2 Network Heterogeneity

For a long time, ITS related works made the assumption that a universal communica-

tion technology will be used for all ITS-related usages. With the evolution of wireless

networks, researchers realized that it was illusory. If a lot of efforts have been spent on

IEEE 802.11-based standards (IEEE 802.11p [70] and M5 [30]) this type of media will

never be deployed worldwide because the current deployment costs are too high and

regulation issues too complex to fully cover all countries.

By now, there is no communication technology that fulfills all the requirements in

terms of performance, cost, response time, availability and reliability. Instead, almost

all needs can be covered using available public data networks.

Nowadays, it is expected that various technologies will coexist allowing mobile de-

vices equipped with multiple wireless communication interfaces to roam seamlessly

between multiple heterogeneous access networks.

The use of heterogeneous wireless networks such as 3G, WLANs and WWANs has

been the focus of numerous researches. These works attempt to satisfy the variety of

emerging applications that require different levels of QoS. In fact, the complementary

Internet of things

3.3. STANDARDIZATION 43

48 CHAPITRE 5. GESTION DE LA MOBILITÉ DANS LES RÉSEAUX MOBILES

déjà décrits sur les terminaux multi-interfaces. Nous montrerons en quoi ils permettent derépondre à une partie des besoins apparus lors de la définition de l’architecture de gestionde CALM. Enfin, nous présentons un certain nombre de problématiques de recherche et deperspectives ouvertes par ce nouveau domaine d’application.

5.2 Context

Lorsqu’il a été clair que les véhicules automobiles (et les autres) devaient pouvoir com-muniquer avec l’extérieur, la première approche des organismes de standardisation a étéde développer des standards spécifiques (par exemple Wave [141] / M5 [46]) ayant chacunl’ambition de devenir le standard de communication unique dans le domaine des transportsintelligents. Mais du fait d’un grand nombre d’acteurs (organismes de standardisation inter-nationaux, équipementiers, utilisateurs, organismes de régulation) et d’une grande variété debesoins, aucun standard ne s’impose. Quelles que soient les raisons administrativo-politico-économiques, il reste que les applications et les environnements sont variés et qu’il est tech-niquement très difficile de proposer une technologie de communication qui convienne à tousles usages dans tous les contextes géographiques et démographiques. Et même si un tel choixdevait être fait, comment prendre une décision qui serait nécessairement contraignante sansattendre en quelque sorte le verdict du marché.

RSE

5.8GHzDSRC

vehicle-to-vehicle *

(CALM 5 or 60 GHz)portable-to-

vehicle

RSE

RSE-to-RSE *

Hot-Spot(WiFi)

RSE

Satellite

Broadcast

GPS/GALILEO

TerrestrialBroadcast

2G/3G 2G/3GWiMAXWiMAX

CALM M5

WAVE *

RSE

CALMIR *

RSERSE

5.8GHzDSRC

vehicle-to-vehicle *

(CALM 5 or 60 GHz)portable-to-

vehicle

RSE

RSE-to-RSE *

Hot-Spot(WiFi)

RSE

Satellite

Broadcast

GPS/GALILEO

TerrestrialBroadcast

2G/3G 2G/3GWiMAXWiMAX

CALM M5

WAVE *

RSE

CALMIR *

CALM Handbook, ISO TC 204 WG16.1, December 2005

Figure 5.1 – Environnement réseau de l’architecture CALM [144]Figure 3.4: Overview of the CALM Communication Capabilities [73]

networking allowing integrating multiple access technologies through dedicated conver-

gence layers.

CALM is designed to be split in several entities in the on-board network. The

CALM Router (the MR) is responsible for interfaces management and connectivity

continuity. All other on-board equipements only have to support IPv6 networking and

implement a simple version of the CALM management plan [31] as shown in fig.3.6. It

makes it easy to integrate simple IPv6 devices as they are allowed to communicate as

if they are on the fixed Internet.

A first take of the architecture is currently being developed by the CVIS (Cooper-

ative Vehicle-to-Infrastructure Systems) European project2.

2http://www.cvisproject.org/

Operator - access network

(ISP)

- Internet

Mobility

Mobile Network

Administrator - car makers

- car owner

Users

/

Applications

Usage

Policies

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IntroductionA scalability issue?

Yes, for adress space concerns• Number of devices

- 2.5 billions of mobile phone over the world- much more non-mobile devices

– temperature sensor, wireless tyre gauge, security camera, heart rate monitor, ...

• Number of vehicles- 600 millions of cars today, 3 billions forecast in 2050 (IMF)

Yes, for service deployability• Middle-box approaches

➡Difficult to evolve toward an open service architecture➡Need to configure all the transmission chain

(MR, HA, ISP network) for new services/applications

• Transparent seamless connectivity (network or link level)- Could be an ecosystem enabler

4

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3G RAN

Multiple Simultaneous

Handovers

Each mobile

manages its

own mobility

(MIP)

Each mobile

has to reach the

infrastructure

using only its

own ressources

Spectrum and network

ressources are not used

efficiently

Each mobile has

few wireless

interfaces

Some devices

should not have

to manage

mobility

3G RAN

Each mobile does

not manage

mobility, it is just

an IP terminal

Only the router

has to reach the

infrastructure

Low power (short range)

transmission between

devices and mobile router

Each mobile

needs only one

wireless interface

Devices could

not manage

mobility

WiFi

Access

Network Router could manage

several interfaces and

performs load sharing

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Mobility managements

Host mobility (MIP on teminal)

5

Network mobility (on a router)

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Multihoming and NEMO

6

HA

RA

CR

RA

MR

CoA(VMN)=MNP:if(VMN)HoA(VMN)

WiFi:CoA(MR-ef1)HoA(MR-ef1)

Binding cache: HoA(MR-ef1):CoA(MR-ef1), lifetime HoA(MR-ef2):CoA(MR-ef2), lifetimePrefix Table / routing table : HoA(MR-ef1):MNP, lifetime

GPRS/3G:CoA(MR-ef2)HoA(MR-ef2)

MNP::/64MNP::1

Several interfaces: ‣ Several tunnels toward the

HA and only one prefix

‣ Allow load sharing and redundancy

‣ Require routing policy at MR and HA- HA and MR has to exchange

this routing policies➡ Flow binding, XML based

policy description

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Summary

Introduction Standardization, an example A mobility management framework Works in progress Projects

7

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CALM architectureISO TC204 WG16

8

Communications Access for

Land Mobiles

Source [CALM ISO 21217]

Couche réseauRoutage IPv6 et sélection du

média

Application

TCP/IP

Network

Management

Entity

(NME)

Interface

Management

Entity

(IME)

CALM

Management

Entity

(CME)

CALM

media2

Autres

Médias

FAST ITSApplications

Pla

n d

e g

estion

Média

GP

RS

Média

ED

GE

CALM

media2

Média

WiM

AX

Média

UM

TS

CALM

media2

Média

M5

Média

WiF

i

2G 3G WLAN

CALM FASTGéocasting

CA

LM

FA

ST

Managm

ent

IPv6MIPv6NEMO(FMIPv6)

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CALM Implementations

9

(a) Standalone (b) CALM on-board unit and CALM enabled device

(c) A full CALM implementation, with isolated OEM network

CALM RoutingIPV6

Internet

Application

NME

IME

CME

IVN

Socket

TCP/UDP

Traffic Mgt

Socket

UDP

CALM RoutingIPv6, NEMO, MCoA

NME

IME

CME

IVNCALM

M5 GPS

Convergence

Antenna Pod

CALM RoutingIPv6, NEMO, MCoA

NME

IME

CME

IVN

Antenna Pod

GPRS

Convergence

DSRC

Convergence

CALM

Routing

Internet

Application

NME

IME

CME

IVN

Socket

TCP/UDP

IVN IVN

Firewall

Sensors

IVNIVN

In-Vehicle

ApplicationSensor

Display/Calculator

OEMCALM

IW

Directory

Services

OEM NetworkIn-Vehicle CALM Network

Backseat screen

CALM MR

Navigation System

Supplementary CALM MR

CALM RoutingNEMO, MCoA, IPv6

NME

IME

CME

IVNCALM

M5 GPS

Convergence

Antenna Pod

CALM MR

CALM Routing

IPv6

Internet

Application

NME

IME

CME

In-Vehicle Network

Socket

TCP/UDP

Traffic Mgt

Socket

UDP

Navigation System

CALM RoutingNEMO, MCoA, IPv6

NME

IME

CME

CALM MR

In-Vehicle CALM Network

IVN M5GPRS DSRC GPS

Convergence Convergence Convergence

Antenna Pod

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What is missing in CALM? Route optimization QoS (planed for next CALM specifications) Specialized interface management➡ Modification of the CALM architecture to

introduce CALM FAST Multiple MR management • Connectivity maintenance and distributed

flow binding decision Distributed/Centralized ressource allocation• Fully centralized architecture a good solution?• What about nested network?

Support for adaptive applications

10

82CHAPTER 6. ENVIRONMENT MONITORING & CONTEXT

MANAGEMENT

GPS

GPS

GPS

GPS

Figure 6.3: Sensor Hot Plugging in Multiple MR and Nested NEMO Scenarios

6.6 Context Management Systems

In the current implementation, the sensors needed to retrieve the information are eitherinstalled on the MR or easily accessible through scripting. this can be a hurdle for morecomplex cases involving hot sensor plugging capabilities such as Multiple MR or NestedNEMO (see fig.6.3 ).

Another more developed approach, consists in using the sensors installed on theMNNs. When a new MNN connects to the mobile network, it declares its capabilitiesto the MR which can use it either to complete missing context information or toconsolidate an already established context (sensor redundancy).

Of course, there should be mechanisms to manage the freshness of the informationand its quality (i.e., accuracy of the sensors). In addition, there should be filtering andtriggering mechanisms responsible of alerting the decision process only if “significant”changes occur.

All these mechanisms are inherent in many CMS available in literature. By def-inition, CMS are responsible for exchanging, maintaining and processing contextualinformation. They are used in many domains spanning from healthcare monitoring tohome automation and it is interesting to apply them to the mobility context manage-ment.

Other aspects of the framework can also profit from a CMS. For example, the processof flow declaration and application adaptability through the applications policy. The

82CHAPTER 6. ENVIRONMENT MONITORING & CONTEXT

MANAGEMENT

GPS

GPS

GPS

GPS

Figure 6.3: Sensor Hot Plugging in Multiple MR and Nested NEMO Scenarios

6.6 Context Management Systems

In the current implementation, the sensors needed to retrieve the information are eitherinstalled on the MR or easily accessible through scripting. this can be a hurdle for morecomplex cases involving hot sensor plugging capabilities such as Multiple MR or NestedNEMO (see fig.6.3 ).

Another more developed approach, consists in using the sensors installed on theMNNs. When a new MNN connects to the mobile network, it declares its capabilitiesto the MR which can use it either to complete missing context information or toconsolidate an already established context (sensor redundancy).

Of course, there should be mechanisms to manage the freshness of the informationand its quality (i.e., accuracy of the sensors). In addition, there should be filtering andtriggering mechanisms responsible of alerting the decision process only if “significant”changes occur.

All these mechanisms are inherent in many CMS available in literature. By def-inition, CMS are responsible for exchanging, maintaining and processing contextualinformation. They are used in many domains spanning from healthcare monitoring tohome automation and it is interesting to apply them to the mobility context manage-ment.

Other aspects of the framework can also profit from a CMS. For example, the processof flow declaration and application adaptability through the applications policy. The

66

CHAPTER 4. RECOMMENDED FEATURE SET FOR A MOBILITYMANAGEMENT FRAMEWORK

AdaptiveMobility-AwareApplications

Declarative Mobility-Aware

ApplicationsSynchronous

Adaptive & Declarative Mobility-Aware Applications

Adaptive & Declarative Mobility-Aware Applications

Figure 4.3: Classification of Mobility Aware Applications

the framework. The framework keeps a state for each SRADA. It receives the requests

separately, treats them differently depending on high level parameters and sends back

a custom response to each application.

In real systems, different kinds of MAwAs will co-exist with unaware appli-

cations. This could lead to several fairness issues that have to be dealt with. Traffic

shaping mechanisms have to be set to prevent standard applications to consume the

bandwidth freed by adaptive applications.

In NEMO based systems, applications are on the MR and applications are

on MNNs. This outlines the need for communication protocols between these devices.

CALM foresees such interactions between application and a management plan, which

has to be present in MNNs and in MRs. In [7] we show that a simple middle-ware

present in MNNs can free applications from implementing complex adaptation policies

while allowing advanced management of mobile network resources. This behavior will

be detailed in 9.4.

4.7 Context Awareness & Context ManagementSystems

Context monitoring modules are necessary to conceive an intelligent mobility frame-

work with high level policy support. The sensing features allow the framework to be

aware of the environment. Up-to-date context information makes it more reactive and

allows it to provide more accurate decisions.

An essential information to be monitored is the list of available wireless

networks. A knowledge of the surrounding networks is mandatory to select the best

network. Obtaining this list is not easy in the current state of ICT. In 802.11 for ex-

ample, the scan mode interrupts the communication and cannot be used too frequently

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Summary

Introduction / Context Standardization A mobility management framework Works in progress Projects

11

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Toward a mobility management framework

12

Mobility Framework

AdministratorEnd User

Applications

Decision

3rd Party (Operator

or Car Manufacturer)

Flow Routing PolicyInterface ManagementPolicy

Application AdaptationPolicy

Enforcement

Flow Declaration

Context

Management

System

EventHigh-level Policy

Enforcement Rule

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Decision mechanism

13

Policy Management

MonitoringDecision

Operator Mobility Framework Administrator

End User

Applications

ContextManagement

System NetworkMonitor

Interface <=> Networkmapping

EnvironmentMonitor

Interface Management

Event

Network Database

Network <=> Flowmapping

High-level Policy

Enforcement Rule

2. Decision Algorithm

Flow Database

Policy Matrix

1. Score Computation

Graph of Solutions

Best Solution

Flow <=> Flow Modemapping

Enforcement _

Flow Monitor

Fast Recovery Solutions

Flow Routing Application

Adaptation

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Implantations

14

5.3. MODULE DEPLOYMENT VIEW 75

Mobile Node

Mobile Node

Home Agent

Correspondant Node

Tunnel 1 Tunnel 2 Tunnel 3

Correspondant Node

Home Agent

Da

taD

ata

Applications

Operator

End User

Policy Management

Applications

End User

Monitoring

Decision

Mobility Framework Administrator

Interface Management

Flow Routing

Application Adaptation

Routing

Routing

Mobile IPv6 - MCoA

Mobile IPv6 - MCoAMobile Router

Mobile Network

Node

Mobile Network Node

Mobile Router

Home Agent

Correspondant Node

Tunnel 1 Tunnel 2 Tunnel 3

Correspondant Node

Home Agent

Da

taD

ata

Applications

Operator

End User

Policy Management

Applications

End User

Monitoring

Decision

Mobility Framework Administrator

Interface Management

Flow Routing

Application Adaptation

Routing

Routing

NEMO - MCoA

NEMO - MCoA

Figure 5.2: SmartMob6 Deployed in a Mobile IPv6 Architecture and in a NEMO

Architecture

In the case of a NEMO deployment, the policy management, and the decision are

mainly implemented in the MR. the MR is the only device in direct contact with

access network, thus, it is the only device able to sense and react to mobility. In 9.4,

we explore alternatives where decision is distributed between the MR and the MNNs.

Context sensing is concentrated in the MR but as explained in chapter 6, it can

be part of a larger system when context is managed between MNNs with, eventually,

sensor hot plugging capabilities.

The tunnel establishment and flow routing can be implemented using MCOA de-

scribed in 2.5.5. It allows to dispatch the flows on the different tunnels according to

the best solution given by the decision algorithms.

In the figure, applications are installed on the MNNs, however, nothing prevents

from having applications on the MR.

The case of a Mobile IPv6 deployment is simpler as all the modules of the MNNs

and the MR are both implemented into the MN as shown in fig. 5.2.

In a Terminal

5.3. MODULE DEPLOYMENT VIEW 75

Mobile Node

Mobile Node

Home Agent

Correspondant Node

Tunnel 1 Tunnel 2 Tunnel 3

Correspondant Node

Home Agent

Da

taD

ata

Applications

Operator

End User

Policy Management

Applications

End User

Monitoring

Decision

Mobility Framework Administrator

Interface Management

Flow Routing

Application Adaptation

Routing

Routing

Mobile IPv6 - MCoA

Mobile IPv6 - MCoAMobile Router

Mobile Network

Node

Mobile Network Node

Mobile Router

Home Agent

Correspondant Node

Tunnel 1 Tunnel 2 Tunnel 3

Correspondant Node

Home Agent

Da

taD

ata

Applications

Operator

End User

Policy Management

Applications

End User

Monitoring

Decision

Mobility Framework Administrator

Interface Management

Flow Routing

Application Adaptation

Routing

Routing

NEMO - MCoA

NEMO - MCoA

Figure 5.2: SmartMob6 Deployed in a Mobile IPv6 Architecture and in a NEMO

Architecture

In the case of a NEMO deployment, the policy management, and the decision are

mainly implemented in the MR. the MR is the only device in direct contact with

access network, thus, it is the only device able to sense and react to mobility. In 9.4,

we explore alternatives where decision is distributed between the MR and the MNNs.

Context sensing is concentrated in the MR but as explained in chapter 6, it can

be part of a larger system when context is managed between MNNs with, eventually,

sensor hot plugging capabilities.

The tunnel establishment and flow routing can be implemented using MCOA de-

scribed in 2.5.5. It allows to dispatch the flows on the different tunnels according to

the best solution given by the decision algorithms.

In the figure, applications are installed on the MNNs, however, nothing prevents

from having applications on the MR.

The case of a Mobile IPv6 deployment is simpler as all the modules of the MNNs

and the MR are both implemented into the MN as shown in fig. 5.2.

In a Mobile Router

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Summary

Introduction / Context Standardization A mobility management framework Works in progress, and possible collaborations Projects

15

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Open problems related to our workAnd possible collaborations

16

Home

Network 3

Internet

Home

Network 1

Home

Network 2

?

Home

Network 3

??

Route optimization and NEMO• Addressing• Geocasting and Vanet• Multihoming issue

- routing decision

• Nested NEMO as Mesh network

NEMO and MANET• Energie efficiency concern• Electromagnetic pollution reduction• Adhoc network vs. nested NEMO

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Evolve our Smart Mobility management

Link with CMS (Context Management System)

Link with link level mechanisms• eg. MIH (IEEE 802.21)

Use other multihoming support • End to end multihoming (shim6)

Tools • We develop a simulation/emulation

environment

17

130 CHAPTER 10. EVALUATION

Figure 10.3: NetPyLab Screenshot

OpenGL Graphical User Interface

One of the most exciting features of NetPyLab is its graphical user interface (GUI). It

is also written in Python/OpenGL using the pyglet library. The GUI allows the user

to follow the movement of the nodes and see when an interface connects to an access

point, for example (see fig.10.3).

The GUI is very useful to help preparing and debugging simulation scripts. But, it

can also be used in demonstrations or as a learning tool.

Within the simulation scripts, the user can specify the different widgets that he

wants to be displayed on the GUI during the experimentation. These widgets can be

a simple interface status or even a real-time plot for any of the monitored parameters.

These instructions are simply ignored when NetPyLab is launched in command-line

mode.

Map Management

NetPyLab displays street maps behind the simulated items. The map images are

streamed in real-time from the OpenStreetMap servers. A cache system allows to keep

these images in the local hard drive to reuse them during the following simulation runs.

134 CHAPTER 10. EVALUATION

0

50

100

150

200

250

300

0 100 200 300 400 500 600

0

50

100

150

200

250

300

0 100 200 300 400 500 600

AP 1 AP 2 AP 13G 3G

Email retrievaldelayed

Reduced streaming bitrate

Normal streaming bitrate

Streaming

Email

(a)

(b)

time (s)

thro

ug

hp

ut

(Kb

ps)

Email retrieval

Figure 10.5: Scenario 1: Adaptive versus Static Application Management

0

50

100

150

200

250

0 20 40 60 80 100

AP 1 AP 2 AP 13G 3G

Streaming

Email

WiFi interface is deactivated during high mobility

Email retrieval

time (s)

thro

ughput (K

bps)

Figure 10.6: Scenario 2: Effect of the Node Velocity on the Decision

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Summary

Introduction / Context Standardization A mobility management framework Work in progress Projects

18

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Research projectsduring 5 last years

2 European projects • ANEMONE (STREP 27 months)• CVIS (IP 36 months)

3 French ANR projects• Cyberté (RNRT), TrainIPSat (Predit)• REMORA (ANR/RNRT)

4 Regional projects• Labo4G (laboratory)• LoCoSS (PRIR), Moshi (PhD)• LocoMotive (I&R PME), NextTv4All (I&R), IPExtrem (Mer)

3 Projets with private companies • UBIQUE (CRE FT R&D), 6ComMob (SFR), • WiFi - WiMAX (CRE FT R&D)

1 project with ADEME

19

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Questions or comments ?