mobility architecture in future internet
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Mobility Architecture in Future Internet. AsiaFI School on Mobile/Wireless. 18 January 2008 Sangheon Pack ([email protected]) Korea University. Contents. Introduction Mobility in Current Internet Mobility in Future Internet Protocols Applications Mobility Models and Testbeds - PowerPoint PPT PresentationTRANSCRIPT
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Mobility Architecture in Future Internet
18 January 2008Sangheon Pack
([email protected])Korea University
AsiaFI School on Mobile/Wireless
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Contents
• Introduction
• Mobility in Current Internet
• Mobility in Future Internet– Protocols
– Applications
– Mobility Models and Testbeds
• Conclusion
• References
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Mobility in the Internet
• New generation of powerful portable devices:– Can support most Internet needs
• Wireless speeds growing constantly:– 4G expected to achieve 40Mbps
– WiFi up to 100Mbps
– WiMAX up to 45Mbps
– mmWave up to 3Gbps
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Mobility Support Problem
IdentifierIdentifier LocatorLocator
IP AddressIP Address
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Many Solutions
• Network Layer– Mobile IPv4/v6
• Transport Layer– SCTP (Stream Control Transport Protocol)
– TCP-Migrate
• Application Layer– SIP (Session Initiation Protocol)
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Internet
HA
FA
Mobile Node
Correspondent Node
FA
Mobile IPv4 (1/2)
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Mobile IPv4 (2/2)HAFAMobile Node Correspondent
Node
Agent Solicitation
Agent Advertisement
Registration RequestRegistration Request
Registration Reply
Registration Reply
User Packet
User Packet
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Mobile IPv6
Correspondent Node
<Correspondent Address>
Mobile Node
<Care-Of Address>
Home Agent
Bidirectionaltunnelling
Routeoptimization
<correspondent address> <-> <home address>
Mobile Node
<Home Address>
IP tu
nnelRouting option
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MAP
HACN
Internet
MAP
oldAR
newAR
MAP domain
MN
Local BU
(Home address, RCoA)
(RCoA, LCoA)
Home BU
Hierarchical Mobile IPv6 (1/2)
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MAP
HACN
Internet
MAP
oldAR
newAR
MAP domain
MN
Local BU
(Home address, RCoA)
(RCoA, LCoA’)
Hierarchical Mobile IPv6 (2/2)
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Many Mobile IP Variants, but…
MobileIPv4/v6MobileIPv4/v6
HMIPv6HMIPv6 FMIPv6FMIPv6
ScalabilityScalabilityManageabilityManageability
AdaptabilityAdaptability11
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New Trends for Mobility Support
• Identifier and Locator Separation
• Network-based Mobility Management
• Scalability
• Adaptability
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Identifier/Locator Separation (1/2)
• Host-based approaches– Host Identity Protocol (HIP)
– Site Multi-homing by IPv6 Intermediation (SHIMv6)
• Network-based approaches– Global, Site, and End (GSE)
– Locator ID Separation Protocol (LISP)
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Identifier/Locator Separation (2/2)
• Host Identity Protocol (HIP)– Identifier: host identity based on public key
– Locator: IP address
• IETF Routing and Address Problem (RoAP)– Name-to-identifier
– Identifier-to-locator
– Locator-forwarding
• For Ubiquitous Computing– Geographical addressing?
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Network-based Mobility Management (1/2)
• For easy deployment!– Driven by device vendors
– Proxy Mobile IPv6
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Network-based Mobility Management (2/2)
Mobile IPv6 Proxy Mobile IPv6
Deployment Difficult Easy
Robustness/Scalability
No (due to route optimization)
LMA and MAG
Handoff Performance
Bad Good
Packet Delivery Performance
Good Bad
Security Built-in Needed16
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Scalability (1/2)
• How to support a few billions of mobile nodes?
• Distributed Hashing Table (DHT)– Robust Overlay Architecture for Mobility (ROAM)
by UC Berkeley
– Distributed Home Agent for Robust Mobile Access (DHARMA) by Upenn
– Scalable Application Mobility Protocol (SAMP) by Seoul Nat’l Univ.
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Scalability (2/2)
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Home SIP Server
Anchor SIP Server
DHT-based overlay network (e.g., Chord)
18Overview of SAMP
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Adaptability (1/2)
• How to support heterogeneous applications and mobile nodes?
• Several Proposals– Reconfigurable Architecture and Mobility
Management (RAMP)
– Adaptive Route Optimization (ARO)
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Adaptability (2/2)
Physical Layer
Link Layer
IP
TCP/UDP
Application Layer
PCN/PCN-C
RAMP
Platform Controller (PC)MN information Database (MID)
Mobility Management Module 1(MMM1)
Platform Registrar(PR)
Platform Controller Notifier (PCN)
Mobility Management Module 2
Mobility Management Module n Network Node (NN)
MobilityRegister
(MR)
MobilityManagementController (MMC)
...
Platform Controller-Client (PC-C) Mobility Selector (MS)
Mobility Management Module-Client 1(MMM-C1)
Platform Registrar-Client(PR-C)
Platform Controller Notifier-Client (PCN-C)
Mobility Management Module-Client 2
Mobility Management Module-Client n Mobile Node (MN)
MobilityRegister
(MR)
MobilityManagementController (MMC)
...
20Overview of RAMP
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Mobility in Future Internet
Protocols, Applications, and Mobility Models
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Paradigm Shift (1/2)
• Traditional wireless mobility– Last hop connectivity
– Soft handoff (horizontal, vertical)
– Most data and services still in the wired Internet
– Advanced ad hoc networking only in tactical and emergency scenarios
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Paradigm Shift (2/2)
• Emerging Wireless and Mobile Internet– The data is collected by portable devices, and
may stay on the devices for a long time:• Urban sensing (vehicle, people), Medical monitoring, etc
– New challenges• Distributed index (i.e. publish/subscribe) to find the data
• Data sharing among mobile users via opportunistic P2P networking
• Privacy, security, protection from attacks
• Intermittent operations: delay tolerant applications; disruption tolerant networks
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Emerging Wireless/Mobile Protocols
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Background (1/2)
• Changing the view on mobility – Mobility has become an integral attribute of
the Internet and we need to design for it.
– Without mobility support, the Internet cannot be invisible.
• There is a big gap between the opportunities that mobility enables and the practical protocols that can take advantage of it.
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Background (2/2)
• Directions– Design for mobility requires a clean-slate
approach to communication protocols in wireless networks and the Internet
– Design for mobility has direct implications on the Internet design, in-network storage and localization information being key factors
– Standards are needed for benchmarks.
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Challenges (1/2)
• The state of links is a function of mobility
– link lifetime, fading, multipath effects, etc.
• The neighborhood of a node changes with mobility
– impacts reliable exchanges and forms of cooperation between senders and receivers (e.g., virtual MIMO, network coding)
• End-to-end paths change with mobility
– impacts path characteristics and the allocation of resources over paths to satisfy application requirements.
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Challenges (2/2)
• Supporting security is more difficult with mobility– Identities of trusted nodes must change
– Privacy can be compromised with mobility (e.g. node can be tracked by the perceived location of its transmissions)
• Policy-based dissemination of information is more difficult with mobility
• Feedback to control data rate is not as useful if paths change
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Design for Mobility: Requirements
• Some protocols benefit from mobility: group mobility, etc.
• Controlled mobility – Nodes move around to improve topology, deliver
data, store-carry-forward,
– Trajectory planning and changing what routes
• Interest-driven “physical” dissemination: – How should opportunistic data mules handle data?
• Content-driven routing
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A Clean Slate Approach (1/2)
• Exploit broadcast nature of links & in-network storage
• OSI/TCP architecture is no longer “the best”– MAC layer: MAC should work on broadcast and
directional transmissions; support many-to-many rather than one-to-one communication
– Network layer: Attribute-based queries, geo-location is important, resource discovery (no DNS)
– Beyond routing: resource discovery replaces route discovery; need for binding of resources/services on the basis of names;
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A Clean Slate Approach (2/2)
• OSI/TCP architecture is no longer “the best”– Opportunistic use of resources: cooperative x-mit
schemes (take advantage of gains at PHY) and incentive mechanisms (battery life, use of spectrum), cooperation using memory, virtual MIMO
– Use mobility of nodes to cooperate as data mules: need for coordination to decide which nodes move
– Peer-to-peer opportunistic transmissions: how to cache and how to route
– Tolerance to various forms of disruption (e.g., no connections)
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Changing The Internet Design (1/2)
• Use of storage and location information must be considered in the global routing design.
• Use of location information: IPv6 can be used but we must find anonymous location information in addressing– Use of proxies and in-net storage
– Privacy and security implications
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Changing The Internet Design (2/2)
• Mobility creates a stronger focus on security– We do not know the local neighborhood!
• Opportunistic mobile routing infrastructures will become important
• Mobility changes the expectations for services (anywhere, anytime), but maintaining performance with seamless mobility is difficult.
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Case Study 1: MobiSteer (1/2)
• MobiSteer– Using Steerable Beam Directional Antenna for
Vehicular Network Access
Omni Directional Beam
Beam steering
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Case Study 1: MobiSteer (2/2)
AP
Link Quality
How to beam steer?Which is the best AP?
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Case Study 2: Controlled Mobility
• Mobile nodes’ mobility can be controlled, – e.g., miniature autonomous air-vehicles
– Benefits• Increase network throughput or reduce delays
• Maintain network connectivity
• Mobile Backbone Architecture
Mobile Backbone Node (MBN)
Regular Node (RN)
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Case Study 3: Mobility-Assisted Communications
• Intermittent Connectivity– Lack of contemporaneous end-to-end paths
• Disaster communication, Vehicular ad hoc networks• Ad-hoc/Sensor Networks, Inter-planetary networks
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Emerging Wireless/Mobile Applications
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New Wireless/Mobile Applications
• Distributed
• Integrating heterogeneous infrastructure and ad-hoc networking
• Location/Energy/User behavior-aware
• Exploit mobility
• Location privacy sensitive
• Self-configurable, self-tunable, remotely manageable
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Examples
• Vehicular applications– Safety, traffic information, route planning
• Content-sharing applications– Entertainment (video, audio), games
• Mobile external sensing– Urban pollution sensing, accident reporting
• Mobile ad-hoc services– Relaying to near-field users
• Emergency applications40
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Case 1: Urban Sensing in VANETs
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• Make the best use of the wireless transmission
• Forward the packet via high density area
• Use intersection as a opportunity to switch the forwarding direction and optimize the forwarding path
Geographically shortest path
Fast speed wireless communication
Case 2: Vehicle-Assisted Data Delivery (VADD)
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Case 3: Push-based Data Dissemination
• Deliver the data to all vehicles within a given area
• Applications– Transportation control
– Emergency announcement
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• Applications– Air quality monitoring – Flu virus tracking
• Unique characteristics– Nodal mobility– Sparse connectivity– Delay/fault tolerability– Limited buffer/memory
W ild life T rack ing
H ealth care A pp lica tion
sen sor
Case 4: Mobile Sensor Networks
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Case 5: Traffic View
• Improve driving safety – Provides driver with a real-time view of the
traffic ahead• Prototype demonstrated in real traffic conditions
– http://discolab.rutgers.edu/traffic/tvdemo.html
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Research Challenges (1/2)
• Mobile application design– Location-aware, exploit mobility, gathering feedback
and traces
• Performance and QoS– Delay tolerance, channel variations
• Cross-layer communication design– Exploit mobile application context information
• Security issues– Location validation, Location privacy
– Trust management
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Research Challenges (2/2)
• Mobile data management
• Fault tolerance– In the presence of mobility
• Remote maintainability – Deployment, configuration, upgrade,
debugging
• Application and service-oriented protocols– Over mobile networks
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Mobility Models and Mobile Testbeds
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Flexibility in Mobility Model
• Multiple scale models– Micro and Macro levels, (e.g., from stop signs to
cross town patterns)
• Multi-faceted scenarios– Combines motion, data traffic, map, infrastructure
– Interrelation between data/motion; data caching; aggregation, etc
• Trade off between accuracy and usability– Different applications may focus on different
parameters
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Trace to Models
• Traces:– Lack of cellular traces (owned by providers)
– Lack of vehicular traces (not enough testbeds)
– Scarcity of urban traces
• Interplay/synergy of:– Measured traces
– Synthetic models/traces
– Theoretical motion/traffic models
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Evaluation Methodology
• Guidelines for community
• Model validation
• Model implementation verification
• Sound statistical analysis of results
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Flexibility in Testbeds
• Multi-layer/user vs. single-layer/user testbeds
• Heterogeneous (hardware, protocols, applications)
• Broad range of motion patterns:– From pre-scheduled to controlled and spontaneous
• Broad range of devices:– From small scale testbeds (motes) to large scale
testbeds (vehicles)
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Scalability in Testbeds
• Testbed expansion with simulation and emulation
• Integration with real world networks and applications
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Measurement Methodology
• Guidelines for the community
• Validation of the model (motion, traffic, etc)
• Verification of the implementation
• Repeatability
• Sensitivity analysis
• Sound statistical analysis
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GENI Wireless Mobility Testbeds
• Vehicular networks
• People to people networks
• Small scale - augmented by simulation (hybrid)
• Inter-operation
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Campus Vehicular Testbed in UCLA
• Campus Vehicular Testbed (C-VeT)– A platform to support car-to-car experiments in
various traffic conditions and mobility patterns– A shared virtualized environment to test new
protocols and applications– Remote access to C-VeT through web interface– Collection of mobility traces and network
statistics– Experiments on a real vehicular network– Full experimental Flexibility but no control on
mobility
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V2V & V2I Testbed in OSU
• Receiver moved at x km/hr towards the stationary transmitter
• Measured using DSRC radios: • Received Power• Bit Error Rate
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Conclusion
• Mobility is a key consideration in Future Internet!
• Need reconsideration for Internet architecture!
• Long way to go!
Thank you!
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References (1/2)
• NSF Workshop on Mobility in Wireless Networks
– http://netlab.cs.ucla.edu/mwnet/usemod10/wiki.cgi?Main
• [ROAM] S. Zhuang, K. Lai, I. Stoica, R. Katz, and S. Shenker, “Host Mobility Using an Internet Indirection Infrastructure,” ACM Wireless Networks, 11(6), November 2005.
• [DHARMA] Y. Mao, B. Knutsson, H. Lu, and J. Smith, “DHARMA: Distributed Home Agent for Robust Mobile Access,” in Proc. IEEE INFOCOM 2005.
• [SAMP] S. Pack, K. Park, T. Kwon, and Y. Choi, "SAMP: Scalable Application Layer Mobility Protocol," IEEE Communications Magazine, 44(6), June 2006.
• [RAMP] J. Chen, J. Yeh, S. Hung, F. Chen, L. Lin, and Y. Lan, "Reconfigurable Architecture and Mobility Management for Next-Generation Wireless IP Networks," IEEE Trans. Wireless Communications, 6(8), August 2007.
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References (2/2)
• [ARO] S. Pack, X. Shen, J. Mark, and J. Pan, "Adaptive Route Optimization in Hierarchical Mobile IPv6 Networks," IEEE Trans. Mobile Computing, 6(8), August 2007.
• [MobiSteer] V. Navda, A. Subramanian, K. Dhanasekaran, A. Timm-Giel, S. R. Das, “MobiSteer: Using Steerable Beam Directional Antenna for Vehicular Network Access,” Proc. ACM MobiSys 2007, June 2007.
• [VADD] http://mcn.cse.psu.edu
• [CVeT] http://www.vehicularlab.org/
• [IntermittentCommunication] T. Spyropoulos, K. Psounis, and C. Raghavendra, “Performance Analysis of Mobility-Assisted Routing,” Proc. ACM MOBIHOC, May 2006.
• [MobileSensorNet] Y. Wang and H. Wu, “Delay/Fault-Tolerant Mobile Sensor Network (DFT-MSN): A New Paradigm for Pervasive Information Gathering", IEEE Trans. on Mobile Computing, 6(9), Sept. 2007.