ContactBased Mobility Metrics for DelayTolerant Ad Hoc Networking - PowerPoint PPT Presentation

1 / 21
About This Presentation
Title:

ContactBased Mobility Metrics for DelayTolerant Ad Hoc Networking

Description:

A. Khelil, P.J. Marr n, K. Rothermel. MASCOTS, Sept 29 2005. Universit t Stuttgart. IPVS ... {khelil,marron,rothermel}_at_informatik.uni-stuttgart.de ... – PowerPoint PPT presentation

Number of Views:40
Avg rating:3.0/5.0
Slides: 22
Provided by: IPV1
Category:

less

Transcript and Presenter's Notes

Title: ContactBased Mobility Metrics for DelayTolerant Ad Hoc Networking


1
Contact-Based Mobility Metrics for Delay-Tolerant
Ad Hoc Networking
  • A. Khelil, P.J. Marrón, K. Rothermel
  • MASCOTS, Sept 29 2005

2
Outline
  • Motivation
  • Related Work
  • Contact-Based Mobility (CBM) Metrics
  • Statistical and Theoretical Analysis for Random
    Waypoint
  • Uses of CBM Metrics
  • Conclusion

3
Motivation
  • Mobile ad hoc network (MANET)
  • In MANETs mobility can be exploited
  • to increase the capacity of the network )
  • to overcome network partitioning
  • New class of protocols and applications
  • Physical transport of messages (mobility-aided)
  • Tolerate higher E2E transmission delays
    (delay-tolerant)
  • Delay-tolerant protocols and appl. act on a large
    time-scale
  • ? Investigation of mobility on a large time-scale
    is crucial

) M. Grossglauser et al. Mobility Increases the
Capacity of Ad Hoc Networks Trans. on Netw.,
2002.
4
Related Work
  • Existing mobility metrics
  • Velocity-based e.g. speed, relative speed
  • Link-based e.g. link change rate, link duration
    )
  • Route-based e.g. route change rate, route
    duration )
  • Metrics defined for (non-delay-tolerant) ad hoc
    routing
  • Metrics model mobility instantaneously and do not
    support detection of mobility patterns a large
    time-scale

) J. Boleng et al. Metrics to Enable Adaptive
Protocols for Mobile Ad Hoc Networks ICWN, 2002.
) N. Sadagopan et al. Paths Analysis of Path
Duration Distributions in MANET and their Impact
on Routing Protocols Mobihoc, 2003.
5
Outline
  • Motivation
  • Related Work
  • Contact-Based Mobility (CBM) Metrics
  • Methodology and Terminology
  • Metrics Definition
  • Statistical and Theoretical Analysis for Random
    Waypoint
  • Uses of CBM Metrics
  • Conclusion

6
Methodology and Terminology (1)
  • Observation Epidemiology uses contacts to model
    mobility of individuals
  • We use contacts between nodes to quantify the
    mobility on a large time-scale
  • Assumption Nodes are uniquely identified (e.g.
    MAC addr.)
  • Definitions
  • Encounter between nodes n and m occurs if
    distance(n,m) lt com. range
  • enmn, m, tstart, duration
  • Contact
  • cnmenm

2nd E
3rd E
1st E
7
Methodology and Terminology (2)
  • Node manages a contact table for the time of
    interest T
  • Cncnm
  • set of contacts of node n in T
  • Enenm
  • set of encounters of node n in T

time of interest T
8
Def. of Contact-Based Mobility (CBM) Metrics
  • Node-centric vs. network-wide
  • Metrics
  • Avg. Encounter Frequency ( 1.4)
  • Encounter Rate ( 7/40 encounters/s)
  • Contact Rate ( 5/40 contacts/s)
  • Avg. Encounter Duration
  • Avg. Contact Duration

5
7
9
Outline
  • Motivation
  • Related Work
  • Contact-Based Mobility (CBM) Metrics
  • Statistical and Theoretical Analysis for Random
    Waypoint
  • Uses of CBM Metrics
  • Conclusion

10
Simulation Parameters
Area
R










11
Average Encounter Frequency
  • AEF is independent from node density
  • AEF increases with Vmax

12
Average Encounter Rate Average Contact Rate
  • Linear increase with node density
  • Non linear increase with Vmax
  • Linear increase with node density
  • linear increase with Vmax

AER / ACR AEF
13
Avg. Contact Duration Avg. Encounter Duration
  • Independent from node density
  • Decreases with Vmax
  • Independent from node density
  • Decreases with Vmax

ACD / AED AEF
14
Analytical Model for Random Waypoint
15
Comparison Analytical Simulation Results
  • Results are very comparable
  • Differences are due to
  • - Spatial node distribution is not exactly
    uniform, since nodes are more likely to locate in
    the middle of movement area Bettstetter
  • - Average nodal speed decreases over time
    Yoon

16
Outline
  • Motivation
  • Related Work
  • Contact-Based Mobility (CBM) Metrics
  • Statistical and Theoretical Analysis for Random
    Waypoint
  • Uses of CBM Metrics
  • CBM Metrics in Network Simulator ns-2
  • Conclusion

17
Uses of CBM Metrics
  • Design and adaptation of delay-tolerant
    mobility-aided protocols
  • Detect large time-scale
    mobility patterns, examples
  • Node src encounters dest-1 periodically
  • Nodes src and x move in a group
  • At run-time HELLO beaconing

x
  • Performance analysis of delay-tolerant
    mobility-aided protocols
  • Classification of mobility scenario
  • Performance evaluation and comparison

18
The Network Simulator ns-2
  • Ns-2 discrete event simulator for wired
    wireless networks
  • General Operations Director (GOD) central
    instance
  • Stores global state information
  • nodes
  • node position
  • number of hops between 2 nodes
  • partitioning information
  • GOD simplifies (global view) evaluation of
    wireless protocols

19
CBM Metrics in ns-2
Arbitrary ns-2 movement trace
Basic communication model
A and B communicate if distance(A,B) lt comm_range
Before simulation
Annotation Tool
Movement trace annotated with CBM information
ns-2
GeneralOperationsDirector(GOD)
Delay- Tolerant Protocol Evaluation
Query()
During simulation
Simulation trace
CBM metrics
http//canu.informatik.uni-stuttgart.de/cbm
20
Conclusion
  • We introduced novel metrics to quantify mobility
    on a large time- scale
  • Based on contacts between nodes
  • Important for evaluation of mobility-aided
    delay-tolerant networking
  • Detailed statistical analysis for random waypoint
  • First steps towards an analytical model for
    random waypoint
  • We provide implementation for ns-2

21
  • Thank you for your attention!
  • http//canu.informatik.uni-stuttgart.de/cbm

khelil,marron,rothermel_at_informatik.uni-stuttgart
.de
Write a Comment
User Comments (0)
About PowerShow.com