Performance Study of Routing Schemes in Delay-Tolerant Networks - PowerPoint PPT Presentation

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Performance Study of Routing Schemes in Delay-Tolerant Networks

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Chien-Shiu Lin, Wei-Shyh Chang, Ling-Jyh Chen, Cheng-Fu Chou, and Ting-Kai Huang ... What's the crucial factors for a successful routing algorithms in Delay ... – PowerPoint PPT presentation

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Title: Performance Study of Routing Schemes in Delay-Tolerant Networks


1
Performance Study of Routing Schemes in
Delay-Tolerant Networks
  • Chien-Shiu Lin, Wei-Shyh Chang, Ling-Jyh Chen,
    Cheng-Fu Chou, and Ting-Kai Huang

2
Motivation
  • Delay /Disruption Tolerant Networks (DTNS)
    attracted increasing attention recently.
  • Whats the crucial factors for a successful
    routing algorithms in Delay/Disruption Tolerant
    Networks?

3
Our contributions
  • Analysis of several kinds of routing schemes
  • Epidemic routing
  • PROPHET routing
  • NC routing
  • Propose two enhancements for PROPHET
  • Contact utilization (PROPHET_CU)
  • Contact duration ratio (PROPHET_CD)

4
Epidemic routing
  • Store, carry and forward model
  • Utilize redundancy to increase the success
    probability
  • But,
  • flooding overhead

5
PROPHET routing
  • Based on Epidemic Routing Scheme
  • Use delivery predictability to reduce flooding
    overhead
  • Delivery predictability
  • Pinit an initialization constant
  • Nodes that are often encountered have a high
    delivery predictability.

6
PROPHET Enhancements (PROPHET_CU)
  • The number of contacts vs. the duration of
    contact
  • Contact Utilization (Prophet_CU)

7
PROPHET Enhancements (PROPHET_CD)
  • Super stars avoidance (load balance)
  • Contact Duration Ratio( Prophet CD)

8
Network Coding
  • Use coding skill to increase success probability
  • Apply Network Coding on the packet

9
Simulation
  • DTNSIM A Java-based simulator
  • A Real-world wireless trace
  • ZebraNet1
  • ZebraNet2 (decreasing 30 contact durations)

ZebraNet1 ZebraNet2
Avg contact duration/pair/day(sec) 22,211 12,825
Avg of contacts/pair/day 2.06 2.06
Number of nodes 34 34
10
Simulation Settings
Trace Name ZebraNet1, ZebraNet2
CBR Traffic (1 MB/msg) 1 msg/hour
Contact bandwidth 1 MB/s
H (hop count limit) 5
m(computation depth) 4
T (time interval) 2 day
Number of pairs 1, 10, 20, 30
Buffer size 400 MB
Simulation time 16 day
Pinit / ? / ? 0.75 / 0.98 / 0.25
11
PROPHET vs. Enhanced PROPHET
  • ZabraNet1

12
PROPHET vs. Enhanced PROPHET
30 node pairs
13
PROPHET vs. Enhanced PROPHET
  • ZebraNet2

14
Routing comparison
15
Routing comparison
30 node pairs
10 node pairs
16
Routing comparison various error rate
17
Conclusion
  • We propose enhancement schemes on PROPHET.
  • Contact duration is an important factor
  • We study several DTN routing schemes and suggest
    suitable network environment for each routing
    protocol.
  • Epidemic routing is sensitive to network loading.
  • NC has best delivery ration in congestion
    situation.
  • NC routing is vulnerable in network with high
    error rate

18
  • Thank you
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